Michael J. Watts

Publication Activity (10 Years)

Years Active: 1997-2018
Publications (10 Years): 2

Top Topics

Bandwidth Utilization

Connectionist Systems

Quality Of Service

Top Venues

IEEE Comput. Intell. Mag.

Publications

Amir Hossein Moravejosharieh, Michael J. Watts, Yu Song
Bandwidth Reservation Approach to Improve Quality of Service in Software-Defined Networking: A Performance Analysis. JCSSE (2018)
Michael J. Watts
Sleep learning and Max-Min aggregation of Evolving Connectionist Systems. IJCNN (2016)
Michael J. Watts
Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi. IJCNN (2014)
André Bianconi, Michael J. Watts, Yanbo Huang, Adriane Beatriz de Souza Serapião, José Silvio Govone, X. Mi, Gustavo Habermann, Alessandro Ferrarini
Applying computational intelligence methods to modeling and predicting common bean germination rates. IJCNN (2014)
Albert Y. S. Lam, Michael J. Watts, Dongrui Wu, Pablo A. Estévez
IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs]. IEEE Comput. Intell. Mag. 7 (1) (2012)
Michael J. Watts
A Decade of Kasabov's Evolving Connectionist Systems: A Review. IEEE Trans. Syst. Man Cybern. Part C 39 (3) (2009)
David R. Pontin, Susan P. Worner, Michael J. Watts
Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons. ICONIP (1) (2008)
Michael J. Watts, Susan P. Worner
Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species. Ecol. Informatics 3 (1) (2008)
Michael J. Watts, Susan P. Worner
Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution. Ecol. Informatics 3 (6) (2008)
Michael J. Watts, Susan P. Worner
Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons. ICONIP (1) (2008)
David R. Pontin, Michael J. Watts, Susan P. Worner
Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beaches. IJCNN (2008)
Michael J. Watts
Nominal-scale Evolving Connectionist Systems. IJCNN (2006)
Michael J. Watts, Susan P. Worner
Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species. IJCNN (2006)
Michael J. Watts, Susan P. Worner
Null-Model Validation of MLP Input Contribution Analysis in Ecology. HIS (2006)
Michael J. Watts
Fuzzy Rule Extraction From Simple Evolving Connectionist Systems. Int. J. Comput. Intell. Appl. 4 (3) (2004)
Samuel Moyle, Michael J. Watts
Neural Nets Raise the Roof. IEEE Intell. Syst. 18 (1) (2003)
Akbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov
Adaptive speech recognition with evolving connectionist systems. Inf. Sci. 156 (1-2) (2003)
Samuel Moyle, Michael J. Watts
Fuzzy Neural Networks in a Palm Environment. AAAI/IAAI (2002)
Michael J. Watts, Nikola K. Kasabov
Evolutionary optimisation of evolving connectionist systems. IEEE Congress on Evolutionary Computation (2002)
Michael J. Watts, Nikola K. Kasabov
Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy. CEC (2001)
Nikola K. Kasabov, Robert Kozma, Michael J. Watts
Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. Inf. Sci. 110 (1-2) (1998)
Michael J. Watts, Nikola K. Kasabov
Genetic Algorithms for the Design of Fuzzy Neural Networks. ICONIP (1998)
Nikola K. Kasabov, Michael J. Watts
Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks. ICNN (1997)
Nikola K. Kasabov, Jaesoo Kim, Michael J. Watts, Andrew R. Gray
FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition. Inf. Sci. 101 (3-4) (1997)
Nikola K. Kasabov, Robert Kozma, Richard Kilgour, Mark R. Laws, J. Taylor, Michael J. Watts, Andrew R. Gray
A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks. ICONIP (2) (1997)