Michael J. Watts

Orcid: 0000-0003-1559-3091

According to our database1, Michael J. Watts authored at least 26 papers between 1997 and 2018.

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Bibliography

2018
Bandwidth Reservation Approach to Improve Quality of Service in Software-Defined Networking: A Performance Analysis.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018

2016
Sleep learning and Max-Min aggregation of Evolving Connectionist Systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Applying computational intelligence methods to modeling and predicting common bean germination rates.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs].
IEEE Comput. Intell. Mag., 2012

2009
A Decade of Kasabov's Evolving Connectionist Systems: A Review.
IEEE Trans. Syst. Man Cybern. Part C, 2009

2008
Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution.
Ecol. Informatics, 2008

Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species.
Ecol. Informatics, 2008

Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beaches.
Proceedings of the International Joint Conference on Neural Networks, 2008

Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2006
Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species.
Proceedings of the International Joint Conference on Neural Networks, 2006

Nominal-scale Evolving Connectionist Systems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Null-Model Validation of MLP Input Contribution Analysis in Ecology.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2004
Fuzzy Rule Extraction From Simple Evolving Connectionist Systems.
Int. J. Comput. Intell. Appl., 2004

2003
Adaptive speech recognition with evolving connectionist systems.
Inf. Sci., 2003

Neural Nets Raise the Roof.
IEEE Intell. Syst., 2003

2002
Evolutionary optimisation of MLP for modelling protein synthesis termination signal efficiency.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Evolutionary optimisation of evolving connectionist systems.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Fuzzy Neural Networks in a Palm Environment.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

1998
Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning.
Inf. Sci., 1998

Genetic Algorithms for the Design of Fuzzy Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition.
Inf. Sci., 1997

A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997


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