A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
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Date
2006
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and optimization guidelines are provided and extensively discussed. Qualitative comparisons of neural training strategies have been provided.
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Turkish CoHE Thesis Center URL
Citation
0
WoS Q
N/A
Scopus Q
N/A
Source
Volume
Issue
Start Page
5275
End Page
5280