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Download the fantastic book titled Sensitivity Analysis for Neural Networks written by Daniel S. Yeung, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Sensitivity Analysis for Neural Networks", which was released on 09 November 2009. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Sensitivity Analysis for Neural Networks by Daniel S. Yeung PDF

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters. This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks.


Detail About Sensitivity Analysis for Neural Networks PDF

  • Author : Daniel S. Yeung
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 89 pages
  • ISBN : 3642025323
  • PDF File Size : 53,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Sensitivity Analysis for Neural Networks

Sensitivity Analysis for Neural Networks
  • Publisher : Springer Science & Business Media
  • File Size : 49,5 Mb
  • Release Date : 09 November 2009
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Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the

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This is Volume I of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on

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  • Publisher : Springer Science & Business Media
  • File Size : 54,8 Mb
  • Release Date : 24 May 1995
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This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995. The book contains 143 revised papers selected from

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  • Publisher : Springer Science & Business Media
  • File Size : 48,5 Mb
  • Release Date : 28 June 2011
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The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck