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» Variable selection using neural-network models
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KES
2005
Springer
15 years 3 months ago
Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...
CLEIEJ
2007
152views more  CLEIEJ 2007»
14 years 9 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
IJISTA
2007
124views more  IJISTA 2007»
14 years 9 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
IJON
2007
85views more  IJON 2007»
14 years 9 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
ESM
2000
14 years 11 months ago
A tool for controlled knowledge discovery in spatial domains
A data simulator that can facilitate the development of improved sampling and analysis procedures for spatial analysis is proposed. The simulator, implemented in MATLAB, provides ...
Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez