Michael J. Watts

Michael J. Watts, Yu Song, Amir Hossein Moravejosharieh, 2018, 2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE).

A Kohonen self-organizing map for the functional classification of proteins based on one-dimensional sequence information

Michael J. Watts, R. Pollock, T. Lane, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Sleep learning and Max-Min aggregation of Evolving Connectionist Systems

Michael J. Watts, M. Watts, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Null-Model Validation of MLP Input Contribution Analysis in Ecology

Michael J. Watts, Susan P. Worner, M. Watts, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Rounding the square peg - Demonstrating the ability of an existing WRRF to meet new water reuse regulations in Oklahoma.

Michael J. Watts, Evan M Tromble, Stephen S Smith, 2015 .

Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species

Michael J. Watts, Susan P. Worner, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species

Michael J. Watts, Susan P. Worner, M. Watts, 2008, Ecol. Informatics.

Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons

Michael J. Watts, Sue P. Worner, M. Watts, 2008, ICONIP.

Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy

Michael J. Watts, Nikola Kasabov, N. Kasabov, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs]

Michael J. Watts, Dongrui Wu, Pablo A. Estévez, 2012, IEEE Computational Intelligence Magazine.

Speech Data Analysis and Recognition Using Fuzzy Neural Networks and Self-Organising Maps

Michael J. Watts, Nikola Kasabov, Robert Kozma, 1997 .

Genetic Algorithms for the Design of Fuzzy Neural Networks

Michael J. Watts, Nikola K. Kasabov, N. Kasabov, 1998, ICONIP.

Spatial-temporal adaptation in evolving fuzzy neural networks for on-line adaptive phoneme recognition

Michael J. Watts, Nikola Kasabov, N. Kasabov, 1999 .

Fuzzy neural networks in a palm environment

Michael J. Watts, Samuel Moyle, S. Moyle, 2002, AAAI/IAAI.

Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks

Michael J. Watts, Nikola Kasabov, N. Kasabov, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Further sensitivity analysis of simple evolving connectionist systems applied to the Lincoln aphid data set

Michael J. Watts, Susan P. Worner, M. Watts, 2007 .

Neural Nets Raise the Roof

Michael J. Watts, Samuel Moyle, 2003, IEEE Intell. Syst..

Simple evolving connectionist systems and experiments on isolated phoneme recognition

Michael J. Watts, Nikola Kasabov, N. Kasabov, 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00.

Fuzzy neural networks (FuNN) in the Palm environment

Michael J. Watts, Sam A Moyle, 2002 .

A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks

Michael J. Watts, Robert Kozma, Nikola K. Kasabov, 1997, International Conference on Neural Information Processing.

Nominal-scale Evolving Connectionist Systems

Michael J. Watts, M. Watts, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information

Michael J. Watts, Haibo He, Giorgio Battistelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A Decade of Kasabov's Evolving Connectionist Systems: A Review

Michael J. Watts, M. Watts, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

An investigation of the properties of evolving fuzzy neural networks

Michael J. Watts, M. Watts, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Adaptive speech recognition with evolving connectionist systems

Michael J. Watts, Nikola K. Kasabov, Akbar Ghobakhlou, 2003, Inf. Sci..

Using multi-layer perceptrons to model the Lincoln aphid data set

Michael J. Watts, Susan P. Worner, 2007 .

Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning

Michael J. Watts, Robert Kozma, Nikola K. Kasabov, 1998, Inf. Sci..

Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering.

Michael J. Watts, Susan P. Worner, M. Watts, 2009 .

Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering

Michael J. Watts, Susan P. Worner, Marc Kenis, 2013 .

Tracking shifting range margins using geographical centroids of metapopulations weighted by population density

Michael J. Watts, H. Resit Akçakaya, Matthew E. Aiello-Lammens, 2013 .