Michael J. Watts - researchr alias

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Viewing Publication 1 - 24 from 24

2018

Bandwidth Reservation Approach to Improve Quality of Service in Software-Defined Networking: A Performance AnalysisAmir Hossein Moravejosharieh, Michael J. Watts, Yu Song. jcsse 2018: 1-6 [doi]

2016

Sleep learning and Max-Min aggregation of Evolving Connectionist SystemsMichael J. Watts. ijcnn 2016: 4325-4330 [doi]

2014

Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padiMichael J. Watts. ijcnn 2014: 646-650 [doi]

2012

IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs]Albert Y. S. Lam, Michael J. Watts, Dongrui Wu, Pablo A. Estévez. cim, 7(1):4-79, 2012. [doi]

2009

A Decade of Kasabov s Evolving Connectionist Systems: A ReviewMichael J. Watts. tsmc, 39(3):253-269, 2009. [doi]

2008

Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beachesDavid R. Pontin, Michael J. Watts, Susan P. Worner. ijcnn 2008: 1170-1175 [doi]

Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer PerceptronsDavid R. Pontin, Susan P. Worner, Michael J. Watts. iconip 2009: 909-916 [doi]

Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest speciesMichael J. Watts, Susan P. Worner. ecoi, 3(1):64-74, 2008. [doi]

Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distributionMichael J. Watts, Susan P. Worner. ecoi, 3(6):354-366, 2008. [doi]

Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer PerceptronsMichael J. Watts, Susan P. Worner. iconip 2009: 901-908 [doi]

2006

Nominal-scale Evolving Connectionist SystemsMichael J. Watts. ijcnn 2006: 2055-2059 [doi]

Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest SpeciesMichael J. Watts, Susan P. Worner. ijcnn 2006: 1840-1845 [doi]

Null-Model Validation of MLP Input Contribution Analysis in EcologyMichael J. Watts, Susan P. Worner. his 2006: 63 [doi]

2004

Fuzzy Rule Extraction From Simple Evolving Connectionist SystemsMichael J. Watts. ijcia, 4(3):299-308, 2004. [doi]

2003

Adaptive speech recognition with evolving connectionist systemsAkbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov. isci, 156(1-2):71-83, 2003. [doi]

Neural Nets Raise the RoofSamuel Moyle, Michael J. Watts. expert, 18(1):8-10, 2003. [doi]

2002

Fuzzy Neural Networks in a Palm EnvironmentSamuel Moyle, Michael J. Watts. AAAI 2002: 1008-1009

Evolutionary optimisation of evolving connectionist systemsMichael J. Watts, Nikola K. Kasabov. cec 2002: 606-610 [doi]

2001

Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategyMichael J. Watts, Nikola K. Kasabov. cec 2001: 1335-1342 [doi]

1998

Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and LearningNikola K. Kasabov, Robert Kozma, Michael J. Watts. isci, 110(1-2):61-79, 1998.

Genetic Algorithms for the Design of Fuzzy Neural NetworksMichael J. Watts, Nikola K. Kasabov. iconip 1998: 793-796

1997

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