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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Angelov, P. & Kasabov, N. ``Evolving Computational Intelligence Systems'' 2005 IEEE Workshop on Genetic and Fuzzy Systems GFS2005, Grenada, Spain, March, 2005  inproceedings URL 
Arnott, R. ``Application of a Genetic Algorithm to Optimise EFuNN rule sets'' 2000   techreport  
Chan, Z. & Kasabov, N. ``Evolutionary Computation for On-line and Off-line Parameter Tuning of Evolving Fuzzy Neural Networks'' 2004 International Journal of Computational Intelligence and Applications
Vol. 4, pp. 309-319 
article URL 
Chang, P.-C., Liu, C.-H., Yeh, C.-H. & Chen, S.-H. ``The Development of a Weighted Evolving Fuzzy Neural Network'' 2006 Proceedings of ICIC 2006, pp. 212-221  inproceedings  
Chang, P.-C., Wang, Y.-W. & Liu, C.-H. ``The development of a weighted evolving fuzzy neural network for PCB sales forecasting'' 2007 Expert Systems with Applications
Vol. 32(1), pp. 86-96 
article DOI URL 
Chen, Y. & Lin, C.-Y. ``Dynamic parameter optimization of evolutionary computation for on-line prediction of time series with changing dynamics'' 2007 Applied Soft Computing
Vol. 7, pp. 1170-1176 
article URL 
Ciarelli, P.M., Salles, Evando, O. & Oliveira, E. ``An Evolving System Based on Probabilistic Neural Network'' 2010 Proceedings of the 2010 Eleventh Brazilian Symposium on Neural Networks  inproceedings URL 
Deng, D. & Kasabov, N. ``ESOM: An Algorithm to Evolve Self-Organizing Maps from On-line Data Streams'' 2000
Vol. 6International Joint Conference on Neural Networks (IJCNN'2000), Como, Italy, pp. 3-8 
inproceedings URL 
Deng, D. & Kasabov, N. ``On-line Pattern Analysis by Evolving Self-Organizing Maps'' 2001 Proceedings of the Fifth Biannual Conference on Artificial Neural Networks and Expert Systems (ANNES2001), pp. 46-51  inproceedings URL 
Deng, D. & Kasabov, N. ``Evolving Self-organizing Map and its Application in Generating a World Macroeconomic Map'' 1999 Emerging Knowledge Engineering and Connectionist-based Systems (Proceedings of the ICONIP/ANZIIS/ANNES'99 Workshop ``Future directions for intelligent systems and information sciences'', Dunedin, 22-23 November 1999), pp. 7-12  inproceedings URL 
Ghobakhlou, A., Watts, M. & Kasabov, N. ``On-Line Expansion of Output Space in Evolving Fuzzy Neural Networks'' 2000
Vol. 2Proceedings ICONIP 2000, Taejon, Korea, November, 2000, pp. 891-896 
inproceedings URL 
Hwang, Y.-C. (P. ``Local and Personalised Models for Prediction, Classification and Knowledge Discovery on Real World Data Modelling Problems'' 2009 School: Auckland University of Technology  phdthesis URL 
Hwang, Y.-C. & Song, Q. ``Dynamic Neural Fuzzy Inference System'' 2008 Proceedings of ICONIP 2008: LNCS 5506, pp. 1245-1250  inproceedings URL 
Hwang, Y.-C., Song, Q. & Kasabov, N. ``MUFIS: A neuro-fuzzy inference system using multiple types of fuzzy rules'' 2008 Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference, pp. 1411-1414  inproceedings URL 
de Jesus Rubio Avila, Martinez, J. & Ramirez, A. ``An Evolving Neuro-Fuzzy Recurrent Network'' 2009 Evolving and Self-Developing Intelligent Systems, 2009. ESDIS '09. IEEE Workshop on, pp. 9 - 15  inproceedings DOI URL 
Kasabov, N. ``Evolving Connectionist Systems - a Symbiosis of Learning and Evolution'' 2000 Proceedings of ICONIP'2000, November 14-18, 2000, Taejon, Korea, pp. 676-680  inproceedings  
Kasabov, N. ``Brain-like functions in evolving connectionist systems for on-line, knowledge-based learning'' 2001
Vol. 3What should be Computed to Understand and Model Brain Function, pp. 77-113  
incollection URL 
Kasabov, N. ``On-line learning, reasoning, rule extraction and aggregation in locally optimised evolving fuzzy neural networks'' 2001 Neurocomputing
Vol. 41, pp. 25-41 
article URL 
Kasabov, N. ``Evolving Fuzzy Neural Networks for Supervised/Unsupervised On-line, Knowledge-Based Learning'' 2001 IEEE Transactions of Systems, Man and Cybernetics, Part B – Cybernetics
Vol. 31(6), pp. 902-918 
article URL 
Kasabov, N. ``Evolving Connectionist Systems, the Brain and the Genes'' 2001 Proceedings of ICONIP 2001, Shanghai, China  inproceedings  
Kasabov, N. ``Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines'' 2003   book  
Kasabov, N. ``Evolving connectionist-based decision support systems'' 2003
Vol. 124Applied Decision Support with Soft Computing, series: Studies in Fuzziness and Soft Computing, pp. 86-98 
incollection  
Kasabov, N. ``Adaptation and Interaction in Dynamical Systems: Modelling and Rule Discovery Through Evolving Connectionist Systems'' 2006 Applied Soft Computing
Vol. 6(3), pp. 307-322 
article URL 
Kasabov, N. ``The ECOS framework and the ECO learning method for evolving connectionist systems'' 1998 Journal of Advanced Computational Intelligence
Vol. 2(6), pp. 195-202 
article URL 
Kasabov, N. ``Evolving Fuzzy Neural Networks - Algorithms, Applications and Biological Motivation'' 1998
Vol. 1Methodologies for the Conception, Design and Application of Soft Computing, pp. 271-274 
inproceedings URL 
Kasabov, N. ``ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm'' 1998
Vol. 2ICONIP'98 Proceedings, pp. 1232-1235 
inproceedings URL 
Kasabov, N. ``Evolving connectionist and fuzzy connectionist systems for on-line adaptive decision making and control'' 1999 Advances in Soft Computing - Engineering Design and Manufacturing  incollection URL 
Kasabov, N. ``Evolving connectionist and fuzzy connectionist systems - theory and applications for adaptive, on-line intelligent systems'' 1999 Neuro-Fuzzy Techniques for Intelligent Information Systems, pp. 111-146  incollection URL 
Kasabov, N. ``Evolving connectionist systems: A theory and a case study on adaptive speech recognition'' 1999
Vol. 5Neural Networks, 1999. IJCNN '99. International Joint Conference on, pp. 3002-3007 
inproceedings URL 
Kasabov, N. ``Evolving fuzzy neural networks for adaptive, on-line intelligent agents and systems'' 1999 Proceedings of the International. Conference on Recent Advances in Mechatronics, Istanbul, Turkey, May 24-26, 1999, pp. 27-41  inproceedings URL 
Kasabov, N. ``Evolving Connectionist Systems for On-line, Knowledge-based Learning: Principles and Applications'' 1999 (TR99/02)  techreport URL 
Kasabov, N. & Song, Q. ``DENFIS: Dynamic Evolving Neural-Fuzzy Inference Systems'' 2002 IEEE Transactions on Fuzzy Systems
Vol. 10(2), pp. 144-154 
article URL 
Kasabov, N. & Song, Q. ``GA-parameter optimisation of evolving connectionist systems for classification and a case study from bioinformatics'' 2002 Proc. of ICONIP’2002 - International Conference on Neuro-Information Processing, Singapore, November 2002, pp. 602-605  inproceedings URL 
Kasabov, N. & Song, Q. ``Dynamic Evolving Fuzzy Neural Networks with `m-out-of-n' Activation Nodes for On-line Adaptive Systems'' 1999 (TR99/04)  techreport URL 
Kasabov, N., Song, Q. & Nishikawa, I. ``Evolutionary Computation for Dynamic Parameter Optimisation of Evolving Connectionist Systems for On-line Prediction of Time Series with Changing Dynamics'' 2003 Proceedings, IJCNN'2003, Portland, Oregon, July 2003, pp. 438-443  inproceedings URL 
Kasabov, N. & Watts, M. ``Spatial-Temporal Adaptation in Evolving Fuzzy Neural Networks for On-line Adaptive Phoneme Recognition'' 1999 (TR99/03)  techreport URL 
Kasabov, N. & Woodford, B. ``Rule Insertion and Rule Extraction from Evolving Fuzzy Neural Networks: Algorithms and Applications for Building Adaptive, Intelligent Expert Systems'' 1999 IEEE International Fuzzy Systems Conference, pp. 1406-1411  inproceedings URL 
Minku, F. & Ludermir, T. ``Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks'' 2005
Vol. 3Proceedings of CEC’2005 Edinburgh, Scotland, September, 2005, pp. 1951-1958 
inproceedings URL 
Minku, F. & Ludermir, T. ``EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm'' 2006 Proceedings of CEC 2006, Vancouver, BC, Canada, July 16-21, 2006, pp. 5548-5555  inproceedings URL 
Minku, F. & Ludermir, T. ``EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-Objective Genetic Algorithm'' 2006 13th International Conference on Neural Information Processing, ICONIP’2006 Hong Kong, October 2006, pp. 884-891  inproceedings URL 
Minku, F. & Ludermir, T. ``EFuNN Ensembles Construction Using CONE with Multi-objective GA'' 2006 IX Brazilian Symposium on Artificial Neural Networks, SBRN'2006, Ribeirăo Preto, Brazil, October 2006, pp. 48-53  inproceedings URL 
Minku, F.L. & Ludermir, T.B. ``Clustering and co-evolution to construct neural network ensembles:An experimental study'' 2008 Neural Networks
Vol. 21(9), pp. 1363 - 1379 
article DOI URL 
Minku, F.L. & Yao, X. ``On-line Negative Correlation Learning'' 2008 Proceedings of IJCNN 2008, pp. 1375-1382  inproceedings URL 
Ozawa, S., Pang, S. & Kasabov, N. ``On-line Feature Selection for Adaptive Evolving Connectionist Systems'' 2006 International Journal of Innovative Computing, Information and Control
Vol. 2(1), pp. 181-192 
article URL 
Pasha, M., Budiarto, R., Syukur, M. & Yamada, M. ``EFIS: Evolvable-Neural-Based Fuzzy Inference System and Its Application for Adaptive Networks Anomaly Detection'' 2005 ICMLC 2005, pp. 662-671  inproceedings URL 
Ravi, V., Srinivas, E.R. & Kasabov, N.K. ``On-Line Evolving Fuzzy Clustering'' 13-15 Dec. 2007
Vol. 1International Conference on Computational Intelligence and Multimedia Applications, 2007., pp. 347-351 
inproceedings DOI  
Song, Q. & Kasabov, N. ``Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS): On-line learning and Application for Time-Series Prediction'' 2000 Proceedings of the 6th International Conference on Soft Computing, October 1-4, 2000, Fuzzy Logic Systems Institute, Iizuka, Japan, pp. 696-702  inproceedings URL 
Song, Q. & Kasabov, N. ``Weighted Data Normalization and Feature Selection for Evolving Connectionist Systems'' 2003 Proc. of the Eight Australian and New Zealand Intelligent Information Systems Conference, Sydney, Australia Dec. 2003, pp. 285-290  inproceedings URL 
Song, Q. & Kasasbov, N. ``ECM, A Novel On-line, Evolving Clustering Method and its Applications'' 2001 Proceedings of the Fifth Biannual Conference on Artificial Neural Networks and Expert Systems (ANNES2001), pp. 87-92  inproceedings URL 
Wang, X. ````On-Line'' Time Series Prediction System---EFuNN-T'' 2001 Proceedings of the Fifth Biannual Conference on Artificial Neural Networks and Expert Systems (ANNES2001), pp. 82-86  inproceedings URL 
Watts, M. ``Fuzzy Rule Extraction from Simple Evolving Connectionist Systems'' 2004 International Journal of Computational Intelligence and Applications, Special Issue on Neuro-Computing and Hybrid Methods for Evolving Intelligence
Vol. 4(3), pp. 299-308 
article URL 
Watts, M. ``Evolving connectionist systems: characterisation, simplification, formalisation, explanation and optimisation'' 2004 School: University of Otago, New Zealand  phdthesis URL 
Watts, M. ``ANN Rule Extraction using Evolutionary Programmed Fuzzy Membership Functions'' 2005 International Journal of Information Technology: Special Issue on Evolutionary Algorithm and Advanced Learning System
Vol. 11(10), pp. 45-53 
article URL 
Watts, M. ``Nominal-Scale Evolving Connectionist Systems'' 2006 Proceedings of 2006 International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, Canada, pp. 4057-4061  inproceedings URL 
Watts, M. ``An Investigation of the Properties of Evolving Fuzzy Neural Networks'' 1999 Proceedings of ICONIP'99, November 1999, Perth, Australia, pp. 217-221  inproceedings URL 
Watts, M. ``Evolving Connectionist Systems for Biochemical Applications'' 1999 Emerging Knowledge Engineering and Connectionist-based Systems (Proceedings of the ICONIP/ANZIIS/ANNES'99 Workshop ``Future directions for intelligent systems and information sciences'', Dunedin, 22-23 November 1999), pp. 147-151  inproceedings  
Watts, M. & Kasabov, N. ``Simple Evolving Connectionist Systems and Experiments on Isolated Phoneme Recognition'' 2000 Proceedings of the first IEEE conference on evolutionary computation and neural networks, San Antonio, May 2000 , pp. 232-239  inproceedings URL 
Watts, M. & Kasabov, N. ``Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy'' 2001 Proceedings of the Congress on Evolutionary Computation (CEC) 2001. Seoul, Korea, pp. 1335-1342  inproceedings URL 
Watts, M. & Kasabov, N. ``Evolutionary Optimisation of Evolving Connectionist Systems'' 2002 Proceedings of the Congress on Evolutionary Computation (CEC) 2002, pp. 606-610  inproceedings URL 
Woodford, B. ``Automatic Optimization of pruning in Evolving Fuzzy Neural Networks using an Entropy Measure'' 2010 Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN’2010) as part of the IEEE World Congress on Computational Intelligence (WCCI’2010), 18–23 July, 2010, Centre De Convencions Internacional De Barcelona, Barcelona, Spain, pp. 1053–1059  inproceedings  
Woodford, B.J. & Kasabov, N. ``Ensembles of EFuNNs: An architecture for a multi module classifier'' 2001 The proceedings of FUZZ-IEEE'2001. The 10th IEEE International Conference on Fuzzy Systems, December 2-5 2001, Melbourne, Australia, pp. 441-445  inproceedings URL 

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