<--- Back to Details
First PageDocument Content
Fuzzy logic / Reasoning system / Fuzzy control system / Neural network / Machine learning / Soft computing / Genetic algorithm / Expert system / Bayesian network / Artificial intelligence / Science / Logic
Date: 2006-01-11 05:46:15
Fuzzy logic
Reasoning system
Fuzzy control system
Neural network
Machine learning
Soft computing
Genetic algorithm
Expert system
Bayesian network
Artificial intelligence
Science
Logic

Soft Computing Techniques for Diagnostics and Prognostics

Add to Reading List

Source URL: aaai.org

Download Document from Source Website

File Size: 134,37 KB

Share Document on Facebook

Similar Documents

1 New results on reduced-round Tiny Encryption Algorithm using genetic programming Karel Kubíˇcek, Jiˇrí Novotný, Petr Švenda, Martin Ukrop Masaryk University, Brno, Czech Republic

DocID: 1vfW5 - View Document

Lattice Optimization Using Multi-Objective Genetic Algorithm Vadim Sajaev, Michael Borland Mini-workshop on ICA in Beam Measurements and Genetic Algorithm in Nonlinear Beam Dynamics March 14, 2012

DocID: 1v00v - View Document

BOOKS ET AL. cesses of inheritance, mutation, recombination, and selection: the genetic algorithm. He has also written extensively about cognitive science, the brain as a complex system, and adaptation in general (1). In

DocID: 1uswV - View Document

SPARC-BDMarch 2010 RF gun cell length effect on the electron beam dynamics. Optimization study with a genetic algorithm A. Bacci, M. Ferrario

DocID: 1uro7 - View Document

PATTERN IDENTIFICATION OF TIME SERIES EVENTS: A PARALLEL GENETIC ALGORITHM APPROACH Stellios Keskinidis Bachelor of Information Technology, Honours

DocID: 1unAZ - View Document