A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
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.
Source
2006 IEEE International Joint Conference On Neural Network Proceedings, Vols 1-10Pages
5275-5280URI
https://hdl.handle.net/20.500.12469/1241https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1716833