Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks. - Nikola K. Kasabov; Michael J. Watts (ICNN, 1997)

A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks. - Nikola K. Kasabov; Robert Kozma 001; Richard Kilgour; Mark R. Laws; J. Taylor; Michael J. Watts; Andrew R. Gray (ICONIP (2), 1997)

FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition. - Nikola K. Kasabov; Jaesoo Kim; Michael J. Watts; Andrew R. Gray (Inf. Sci., 1997)

Genetic Algorithms for the Design of Fuzzy Neural Networks. - Michael J. Watts; Nikola K. Kasabov (ICONIP, 1998)

Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. - Nikola K. Kasabov; Robert Kozma 001; Michael J. Watts (Inf. Sci., 1998)

Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy. - Michael J. Watts; Nikola K. Kasabov (CEC, 2001)

Fuzzy Neural Networks in a Palm Environment. - Samuel Moyle; Michael J. Watts (AAAI/IAAI, 2002)

Evolutionary optimisation of evolving connectionist systems. - Michael J. Watts; Nikola K. Kasabov (IEEE Congress on Evolutionary Computation, 2002)

Evolutionary optimisation of MLP for modelling protein synthesis termination signal efficiency. - Michael J. Watts; Louise Major; Warren Tate (IEEE Congress on Evolutionary Computation, 2002)

Neural Nets Raise the Roof. - Samuel Moyle; Michael J. Watts (IEEE Intell. Syst., 2003)

Adaptive speech recognition with evolving connectionist systems. - Akbar Ghobakhlou; Michael J. Watts; Nikola K. Kasabov (Inf. Sci., 2003)

Fuzzy Rule Extraction From Simple Evolving Connectionist Systems. - Michael J. Watts (Int. J. Comput. Intell. Appl., 2004)

Null-Model Validation of MLP Input Contribution Analysis in Ecology. - Michael J. Watts; Susan P. Worner (HIS, 2006)

Nominal-scale Evolving Connectionist Systems. - Michael J. Watts (IJCNN, 2006)

Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species. - Michael J. Watts; Susan P. Worner (IJCNN, 2006)

Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons. - David R. Pontin; Susan P. Worner; Michael J. Watts (ICONIP (1), 2008)

Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons. - Michael J. Watts; Susan P. Worner (ICONIP (1), 2008)

Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beaches. - David R. Pontin; Michael J. Watts; Susan P. Worner (IJCNN, 2008)

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 (Ecol. Informatics, 2008)

Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution. - Michael J. Watts; Susan P. Worner (Ecol. Informatics, 2008)

A Decade of Kasabov's Evolving Connectionist Systems: A Review. - Michael J. Watts (IEEE Trans. Syst. Man Cybern. Part C, 2009)

IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs]. - Albert Y. S. Lam; Michael J. Watts; Dongrui Wu; Pablo A. Estévez (IEEE Comput. Intell. Mag., 2012)

Applying computational intelligence methods to modeling and predicting common bean germination rates. - André Bianconi; Michael J. Watts; Yanbo Huang; Adriane Beatriz de Souza Serapião; José Silvio Govone; X. Mi; Gustavo Habermann; Alessandro Ferrarini (IJCNN, 2014)

Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi. - Michael J. Watts (IJCNN, 2014)

Sleep learning and Max-Min aggregation of Evolving Connectionist Systems. - Michael J. Watts (IJCNN, 2016)

Bandwidth Reservation Approach to Improve Quality of Service in Software-Defined Networking: A Performance Analysis. - Amir Hossein Moravejosharieh; Michael J. Watts; Yu Song (JCSSE, 2018)