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Ali, Mumtaz and Deo, Ravinesh C. and Downs, Nathan J. and Maraseni, Tek (2018) Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. Computers and Electronics in Agriculture, 152. pp. 149-165. ISSN 0168-1699

Sanikhani, Hadi and Deo, Ravinesh C. and Samui, Pijush and Kisi, Ozgur and Mert, Chian and Mirabbasi, Rasoul and Gavili, Siavash and Yaseen, Zaher Mundher (2018) Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Computers and Electronics in Agriculture, 152. pp. 242-260. ISSN 0168-1699

Yin, Zhenliang and Feng, Qi and Wen, Xiaohu and Deo, Ravinesh C. and Yang, Linshan and Si, Jianhua and He, Zhibin (2018) Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment. Stochastic Environmental Research and Risk Assessment. ISSN 1436-3240

Ali, Mumtaz and Deo, Ravinesh C. and Downs, Nathan J. and Maraseni, Tek (2018) Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting. Atmospheric Research, 213. pp. 450-464. ISSN 0169-8095

Sanikhani, Hadi and Deo, Ravinesh C. and Yaseen, Zaher Mundheer and Eray, Okan and Kisi, Ozgur (2018) Non-tuned data intelligent model for soil temperature estimation: a new approach. Geoderma, 330. pp. 52-64. ISSN 0016-7061

Kim, Dookie and Roy, Sanjiban Sekhar and Lansivaara, Tim and Deo, Ravinesh C. and Samui, Pijush, eds. (2018) Handbook of research on predictive modeling and optimization methods in science and engineering. IGI Publishing (IGI Global), United States. ISBN 9781522547662

Yaseen, Zaher Mundher and Deo, Ravinesh C. and Ebtehaj, Isa and Bonakdari, Hossein (2018) Hybrid data intelligent models and applications for water level prediction. In: Handbook of research on predictive modeling and optimization methods in science and engineering. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Publishing (IGI Global), Hershey, United States, pp. 121-139. ISBN 9781522547662

Deo, Ravinesh C. and Ghimire, Sujan and Downs, Nathan J. and Raj, Nawin (2018) Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model. In: Handbook of research on predictive modeling and optimization methods in science and engineering. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Publishing (IGI Global), Hershey, United States, pp. 328-359. ISBN 9781522547662

McCarthy, Elizabeth and Deo, Ravinesh C. and Li, Yan and Maraseni, Tek (2018) Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models. In: Handbook of research on predictive modeling and optimization methods in science and engineering. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Publishing (IGI Global), Hershey, United States, pp. 446-464. ISBN 9781522547662

Prasad, Ramendra and Deo, Ravinesh C. and Li, Yan and Maraseni, Tek (2018) Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition. Geoderma, 330. pp. 136-161. ISSN 0016-7061

Mouatadid, Soukayna and Raj, Nawin and Deo, Ravinesh C. and Adamowski, Jan F. (2018) Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region. Atmospheric Research, 212. pp. 130-149. ISSN 0169-8095

Ghimire, Sujan and Deo, Ravinesh C. and Downs, Nathan J. and Raj, Nawin (2018) Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities. Remote Sensing of Environment, 212. pp. 176-198. ISSN 0034-4257

Fallah, Seyedeh Narjes and Deo, Ravinesh Chand and Shojafar, Mohammad and Conti, Mauro and Shamshirband, Shahaboddin (2018) Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions. Energies, 11 (3).

Ali, Mumtaz and Deo, Ravinesh C. and Downs, Nathan J. and Maraseni, Tek (2018) An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index. Atmospheric Research, 207. pp. 155-180. ISSN 0169-8095

Rajaee, Taher and Ravansalar, Masoud and Adamowski, Jan F. and Deo, Ravinesh C. (2018) A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm. Water, Air and Soil Pollution, 229 (3). ISSN 0049-6979

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and Li, Yan and Adamowski, Jan F. (2018) Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting. Applied Energy, 217. pp. 422-439. ISSN 0306-2619

Yaseen, Zaher Mundher and Fu, Minglei and Wang, Chen and Mohtar, Wan Hanna Melini Wan and Deo, Ravinesh C. and El-Shafie, Ahmed (2018) Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons. Water Resources Management. ISSN 0920-4741

Salcedo-Sanz, Sancho and Deo, Ravinesh C. and Cornejo-Bueno, Laura and Camacho-Gomez, Carlos and Ghimire, Sujan (2018) An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia. Applied Energy, 209. pp. 79-94. ISSN 0306-2619

Roy, Sanjiban Sekhar and Samui, Pijushi and Deo, Ravinesh and Ntalampiras, Stalampiras, eds. (2018) Big data in engineering applications. Studies in Big Data. Springer, Singapore. ISBN 978-981-10-8476-8

Deo, Ravinesh C. and Ghorbani, Mohammad Ali and Samadianfard, Saeed and Maraseni, Tek and Bilgili, Mehmet and Biazar, Mustafa (2018) Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data. Renewable Energy, 116 (Part A). pp. 309-323. ISSN 0960-1481

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and Adamowski, Jan F. and Li, Yan (2018) Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Advanced Engineering Informatics, 35 (C). pp. 1-16. ISSN 1474-0346

Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. and Wu, Min and Si, Jianhua (2017) Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China. Hydrology Research: an International Journal, 48 (6). pp. 1710-1729. ISSN 1998-9563

Ghorbani, Mohammad Ali and Deo, Ravinesh C. and Karimi, Vahid and Yaseen, Zaher Mundher and Terz, Ozlem (2017) Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey. Stochastic Environmental Research and Risk Assessment. ISSN 1436-3240

Allawi, Mohammed Falah and Jaafar, Othman and Hamzah, Firdaus Mohamad and Mohd, Nuruol Syuhadaa and Deo, Ravinesh C. and El-Shafie, Ahmed (2017) Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region. Theoretical and Applied Climatology. ISSN 0177-798X

Yu, Haijiao and Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. and Si, Jianhua and Wu, Min (2017) Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China. Water Resources Management. ISSN 0920-4741

Yaseen, Zaher Mundher and Deo, Ravinesh C. and Hilal, Ameer and Abd, Abbas M. and Bueno, Laura Cornejo and Salcedo-Sanz, Sancho and Nehdi, Moncef L. (2017) Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. Advances in Engineering Software. ISSN 0965-9978

Yaseen, Zaher Mundher and Ghareb, Mazen Ismaeel and Ebtehaj, Isa and Bonakdari, Hossein and Siddique, Ridwan and Heddam, Sali and Yusif, Ali A. and Deo, Ravinesh (2017) Rainfall pattern forecasting using novel hybrid intelligent model based ANFIS-FFA. Water Resources Management. ISSN 0920-4741

Yeom, Jong-Min and Deo, Ravinesh and Chun, Junghwa and Hong, Jinkyu and Kim, Dong-Su and Han, Kyung-Soo and Cho, Jaeil (2017) Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements. International Journal of Remote Sensing, 38 (23). pp. 7441-7456. ISSN 0143-1161

Yaseen, Zaher Mundher and Ebtehaj, Isa and Bonakdari, Hossein and Deo, Ravinesh C. and Mehr, Ali Danandeh and Mohtar, Wan Hanna Melini Wan and Diop, Lamine and El-Shafie, Ahmed and Singh, Vijay P. (2017) Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model. Journal of Hydrology. ISSN 0022-1694

Ghorbani, M. A. and Deo, Ravinesh C. and Yaseen, Zaher Mundher and Kashani, Mahsa H. and Mohammadi, Babak (2017) Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran. Theoretical and Applied Climatology. ISSN 0177-798X

Raheli, Bahare and Aalami, Mohammad Taghi and El-Shafie, Ahmed and Ghorbani, Mohammad Ali and Deo, Ravinesh C. (2017) Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River. Environmental Earth Sciences, 76 (14). ISSN 1866-6280

Deo, Ravinesh C. and Tiwari, Mukesh K. and Adamowski, Jan F. and Quilty, John M. (2017) Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model. Stochastic Environmental Research and Risk Assessment, 31 (5). pp. 1211-1240. ISSN 1436-3240

Prasad, Ramendra and Deo, Ravinesh C. and Li, Yan and Maraseni, Tek (2017) Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm. Atmospheric Research, 197. pp. 42-63. ISSN 0169-8095

Deo, Ravinesh C. and Samui, Pijush (2017) Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City. Journal of Hydrologic Engineering, 22 (6). pp. 1-15. ISSN 1084-0699

Deo, Ravinesh C. and Downs, Nathan and Parisi, Alfio V. and Adamowski, Jan F. and Quilty, John M. (2017) Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle. Environmental Research, 155. pp. 141-166. ISSN 0013-9351

Dayal, Kavina and Deo, Ravinesh and Apan, Armando A. (2017) Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia. In: Climate change adaptation in Pacific countries: fostering resilience and improving the quality of life (Part II). Climate Change Management. Springer International Publishing, pp. 177-198. ISBN 978-3-319-50093-5

Wang, Xin and Li, Yan and Chen, Tongjun and Yan, Qiuyan and Ma, Li (2017) Quantitative thickness prediction of tectonically deformed coal using extreme learning machine and principal component analysis: a case study. Computers and Geosciences, 101 (101). pp. 38-47. ISSN 0098-3004

Deo, Ravinesh C. and Kisi, Ogzur and Singh, Vijay P. (2017) Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model. Atmospheric Research, 184. pp. 149-175. ISSN 0169-8095

Deo, Ravinesh C. and Sahin, Mehmet (2017) Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland. Renewable and Sustainable Energy Reviews, 72. pp. 828-848. ISSN 1364-0321

Siuly, Siuly and Li, Yan and Zhang, Yanchun (2017) EEG signal analysis and classification: techniques and applications. Health Information Science (2366-0988). Springer, Switzerland. ISBN 978-3-319-47652-0

Espada, Rudolf and Apan, Armando and McDougall, Kevin (2017) Vulnerability assessment of urban community and critical infrastructures for integrated flood risk management and climate adaptation strategies. International Journal of Disaster Resilience in the Built Environment, 8 (4). pp. 375-411. ISSN 1759-5908

Dayal, Kavina S. and Deo, Ravinesh C. and Apan, Armando A. (2016) Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index. In: 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016), 22-25 Nov 2016, Singapore.

Yaseen, Zaher Mundher and Jaafar, Othman and Deo, Ravinesh C. and Kisi, Ozgur and Adamowski, Jan and Quilty, John and El-Shafie, Ahmed (2016) Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq. Journal of Hydrology, 542. pp. 603-614. ISSN 0022-1694

Deo, Ravinesh C. and Samui, Pijush and Kim, Dookie (2016) Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models. Stochastic Environmental Research and Risk Assessment, 30 (6). pp. 1769-1784. ISSN 1436-3240

Salcedo-Sanz, S. and Deo, R. C. and Carro-Calvo, L. and Saavedra-Moreno, B. (2016) Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms. Theoretical and Applied Climatology, 125 (1-2). pp. 13-25. ISSN 0177-798X

Deo, Ravinesh C. and Wen, Xiaohu and Feng, Qi (2016) A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset. Applied Energy, 168. pp. 568-593. ISSN 0306-2619

Deo, Ravinesh C. and Sahin, Mehmet (2016) An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland. Environmental Monitoring and Assessment, 188 (90). ISSN 0167-6369

Song, Bo and Wen, Peng and Ahfock, Tony and Li, Yan (2016) Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation. IEEE Transactions on Biomedical Engineering , 63 (1). pp. 176-187. ISSN 0018-9294

Hou, Yonghong and Wang, Pichao and Xiang, Wei and Gao, Zhimin and Hou, Chunping (2015) A novel rate control algorithm for video coding based on fuzzy-PID controller. Signal, Image and Video Processing , 9 (4). pp. 875-884. ISSN 1863-1703

Espada Jr., R. and Apan, A. and McDougall, K. (2013) Using spatial modelling to develop flood risk and climate adaptation capacity metrics for assessing urban community and critical electricity infrastructure vulnerability. In: 20th International Congress on Modelling and Simulation (MODSIM 2013): Adapting to Change: The Multiple Roles of Modelling , 1-6 Dec 2013, Adelaide, Australia.

Ahmed, Diyar I. and Kasolang, S. and Khidhir, Basim A. and Yousif, B. F. (2013) Fuzzy logic based model to predict maximum oil-film pressure in journal bearing. Research Journal of Applied Sciences, Engineering and Technology , 6 (20). pp. 3871-3878. ISSN 2040-7459

Griinke, Tyler John (2013) Development of an artificial neural network (ANN) for predicting tribological properties of kenaf fibre reinforced epoxy composites (KFRE). [USQ Project]

Espada Jr., Rodolfo and Apan, Armando and McDougall, Kevin (2013) Using spatial modelling to develop flood risk and climate adaptation capacity metrics for vulnerability assessments of urban community and critical water supply infrastructure. In: 49th World Congress of the International Society of City and Regional Planners (ISOCARP 2013): Frontiers of Planning: Evolving and Declining Models of City Planning Practice , 1-4 Oct 2013, Brisbane, Australia.

Supeni, E. E. and Epaarachchi, J. A. and Islam, M. M. and Lau, K. T. (2013) Development of artificial neural network model in predicting performance of the smart wind turbine blade. In: 3rd Malaysian Postgraduate Conference (MPC 2013), 4-5 Jul 2013, Sydney, Australia.

Kahandawa, Gayan C. and Epaarachchi, Jayantha and Lau, K. T. and Canning, John (2013) Estimation of strain of distorted FBG sensor spectra using a fixed FBG filter circuit and an artificial neural network. In: IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2013): Sensing the Future, 2-5 Apr 2013, Melbourne, Australia.

Kahandawa, G. C. and Epaarachchi, J. A. and Wang, H. and Lau, K. T. (2012) Optimized FBG sensor network for efficient detection of a delamination in FRP structures. In: 8th Asian-Australasian Conference on Composite Materials (ACCM 2012): Composites: Enabling Tomorrow's Industry Today, 6-8 Nov 2012, Kuala Lumpur, Malaysia.

Zhang, Ji and Cao, Jie and Zhu, Xiaodong (2012) An innovative outlier detection method using localized thresholds. Data and Knowledge Engineering. pp. 65-73. ISSN 0302-9743

Zhang, Ji and Cao, Jie and Zhu, Xiaodong (2012) Detecting global outliers from large distributed databases. In: 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012), 29-31 May 2012, Chongqing; China.

Kiani, Mostafa Kiani Deh and Ghobadian, Barat and Ommi, Fathollah and Najafi, Gholamhassan and Yusaf, Talal (2012) Artificial neural networks approach for the prediction of thermal balance of SI engine using ethanol-gasoline blends. In: 2012 International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES 2012), 20-24 Aug 2012, Prague, Czech Republic.

Zhou, Hong and Su, Gang and Li, Guofang (2011) Forecasting daily gas load with OIHF-Elman neural network. Procedia Computer Science, 5. pp. 754-758.

Walters-Williams, Janett and Li, Yan (2010) B-spline mutual information independent component analysis. International Journal of Computer Science and Network Security, 10 (7). pp. 129-141. ISSN 1738-7906

Erdei, Laszlo and Vigneswaran, Saravanamuthu and Kandasamy, Jaya K. (2010) Modelling of submerged membrane flocculation hybrid systems using statistical and artificial neural networks methods. Journal of Water Supply: Research and Technology, 59 (2-3). pp. 198-208. ISSN 1606-9935

Xiang, Wei and Desai, Bhavin and Wen, Paul and Wang, Yafeng and Peng, Tianshu (2009) A prototype biometric security authentication system based upon fingerprint recognition. In: 4th International Conference on Rough Set and Knowledge Technology (RSKT 2009) , 14-16 Jul 2009, Gold Coast, Australia.

Zou, Weibao and Li, Yan and Tang, Arthur (2009) Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification. Neural Computing and Applications, 18 (3). pp. 249-260. ISSN 0941-0643

Williams, Janett and Li, Yan (2008) A case study using neural networks algorithms: horse racing predictions in Jamaica. In: ICAI 2008: International Conference on Artificial Intelligence , 14-17 Jul 2008, Las Vegas, NV. United States.

Zhao, Weichang and Pinnaduwage, Lal A. and Leis, John W. and Gehl, Anthony C. and Allman, Steve L. and Shepp, Allan and Mahmud, Ken K. (2008) Identification and quantification of components in ternary vapor mixtures using a microelectromechanical-system-based electronic nose. Journal of Applied Physics, 103 (10). pp. 1-11. ISSN 0021-8979

Sun, Lili and Li, Yan (2008) XML and web services security. In: CSCWD 2008: 12th International Conference on Computer Supported Cooporative Work in Design, 16-18 Apr 2008, Xi'an, China.

De Byl, Penny-Anne Kaye; Mills, Christopher William (2007) An emotion recognition system and method. .

Zou, Weibao and Li, Yan (2007) Image classification using wavelet coefficients in low-pass bands. In: 2007 International Joint Conference on Neural Networks (IJCNN), 12-17 August 2007, Orlando, Florida, USQ.

Lu, Te-Wei and Wen, Peng (2007) Time optimal and robust control of twin rotor system. In: ICCA 2007: 6th IEEE International Conference on Control and Automation, 30 May-1 Jun 2007, Guangzhou, China.

Li, Yan and Chi, Zheru and Feng, David (2006) Leaf vein extraction using independent component analysis. In: 2006 IEEE International Conference on Systems, Man and Cybernetics, 8-11 Oct 2006, Taiwan.

Weibao, Zou and Li, Yan and Lo, King Chuen and Chi, Zheru (2006) Improvement of image classification with wavelet and independent component analysis (ICA) based on a structured neural network. In: 2006 International Joint Conference on Neural Networks (IJCNN), 16-21July 2006, Vancouver, Canada.

Young, Nam Mi and Bashar, Md. Rezaul and Rhee, Phill Kyu (2006) A face recognition system on distributed evolutionary computing using on-line GA. In: Intelligent Control and Automation: International Conference on Intelligent Computing ( ICIC 2006) Kunming, China, August, 2006, August, 2006, Kunming,China.

Young, Nam Mi and Bashar, Md. Rezaul and Rhee, Phill Kyu (2006) Adaptive context-aware filter fusion for face recognition on bad illumination. In: KES 2006: 10th International Conference on Knowlege-Based Intelligent Information and Engineering Systems , 9-11 Oct 2006, Bournemouth, United Kingdom.

Joo, Hyun Jea and Jang, Bong Won and Bashar, Md. Rezaul and Rhee, Phill Kyu (2006) Real time face detection system based edge restoration and nested K-means at frontal view. In: 3rd International Conference on Fuzzy Systems and Knowledge Discovery , 24-28 Sept 2006, Xi'an, China.

Al-Hakim, Latif (2006) Web-based hospital information system for managing operating theatre waiting list. International Journal of Healthcare Technology and Management, 7 (3-4). pp. 266-282. ISSN 1368-2156

Li, Zhi and Zhang, Zhongwei (2005) A coupled fuzzy logic control for routers' queue management over TCP/AQM networks. In: 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005), 14-16 Sep 2005, Melbourne, Australia.

Woolf, Rodney J. (2005) Data mining using Matlab. [USQ Project]

Li, Yan and Wen, Peng (2005) An ensemble learning algorithm for blind signal separation problem. In: 2005 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2005), 28- 30 Nov 2005, Vienna, Austria .

Zhang, Zhongwei and Li, Zhi and Suthaharan, Shan (2005) Fuzzy logic strategy of prognosticating TCP's timeout and retransmission. In: Computational intelligence for modelling and prediction. Studies in Computational Intelligence (2). Springer-Verlag, Berlin. ISBN 3540260714

Li, Yan and Wen, Peng and Powers, David (2003) Methods for the blind signal separation problem. In: ICNNSP 2003: International Conference on Neural Networks and Signal Processing , 14-17 Dec 2003 , Nanjing, China.

Li, Yan and Powers, David and Peach, James (2001) Comparison of blind source separation algorithms. In: WSES International Conference on Neural Networks and Applications 2001, 11-15 Feb 2001, Tenerife, Spain.

Li, Yan and Rad, A. B. and Wen, Peng (1999) An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer. Neural Computing and Applications, 8. pp. 218-225. ISSN 0941-0643

Billingsley, John (1999) Fuzzy future for robotics? Industrial Robot, 26 (4). pp. 246-247. ISSN 0143-991X

Li, Yan and Rad, A. B. (1997) A cascading structure and training method for multilayer neural network. International Journal of Neural Systems, 8 (5/6). pp. 509-515. ISSN 0129-0657

Zhang, Guangquan and Zhang, Yanchuan and Lu, Jie (1997) Properties of lattice-limit of a sequence on x-lattice. Journal of Fuzzy Mathematics, 5 (1). pp. 201-211. ISSN 1066-8950

This list was generated on Sat Aug 18 01:51:08 2018 AEST.