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
- Release Date : 09 November 2009
- PDF File Size : 53,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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