Reduction of complexity in conic section function neural network

This paper details how the complexity can be reduced in conic section function neural network (CSFNN) by using sensitivity analysis and the results are given for various problems. This is, particularly important for neural network hardware applications. The method used here extracts the cause and ef...

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Veröffentlicht in:	Kybernetes 2003-06, Vol.32 (4), p.540-547
Hauptverfasser:	O¨zylmaz, Lale, Yldrm, Tu¨lay
Format:	Artikel
Sprache:	eng
Schlagworte:	Complexity Cybernetics Neural networks Sensitivity analysis
Online-Zugang:	Volltext
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