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This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perception neural networks and radial basis function neural networks.
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From the reviews:
“Neural Networks are seen as an information paradigm inspired by the way the human brain processes information. ... The book may be used by researchers in diverse domains, such as neural networks, machine learning, computer engineering, etc., facing problems connected to sensitivity analysis of neural networks.” (Florin Gorunescu, Zentralblatt MATH, Vol. 1189, 2010)
Title: Sensitivity Analysis for Neural Networks
Publisher: Springer
Publication Date: 2012
Binding: Soft cover
Condition: New