Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Intelligent association selection of embedded agents in intelligent inhabited environments
Pervasive and Mobile Computing
Input selection in learning systems: a brief review of some important issues and recent developments
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A neuro-fuzzy approach to simulate the user mode choice behaviour in a travel decision framework
International Journal of Modelling and Simulation
Engineering Applications of Artificial Intelligence
On the use of neuro-fuzzy techniques for analyzing experimental surface electromyographic data
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
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When modeling a complex, poorly defined, nonlinear problem with hundreds of possible inputs, we must identify the significant inputs before any known nonlinear modeling techniques can be applied. We introduce two stage fuzzy curves and surfaces and use them to 1) automatically and quickly order large numbers of inputs according to their significance, 2) eliminate spurious inputs, and 3) eliminate inputs dependent on the significant inputs