Developing a generic genetic algorithm
Proceedings of the 2002 annual ACM SIGAda international conference on Ada: The engineering of correct and reliable software for real-time & distributed systems using Ada and related technologies
Modeling and control of non-linear systems using soft computing techniques
Applied Soft Computing
Landslide susceptibility mapping using an artificial neural network in the Gangneung area, Korea
International Journal of Remote Sensing
Structural damage detection using neural network with learning rate improvement
Computers and Structures
Environmental Modelling & Software
Landslide hazard mapping using geospatial models
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal
Applied Soft Computing
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From the Publisher:Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. This book presents the fundamentals of both technologies, and combines the unique capabilities of these two technologies to gain the advantages of both.