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A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks

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A Systems Software Architecture For Training Neural, Fuzzy Neural.pdf (276.2Kb)
Date
2006
Author
Arsan, Taner
Öǧrenci, Arif Selçuk
Saydam, Tuncay
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 1-10

Pages

5275-5280

URI

https://hdl.handle.net/20.500.12469/1241
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1716833

Collections

  • Araştırma Çıktıları / Scopus [1482]
  • Araştırma Çıktıları / WOS [1415]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [319]

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