Sensitivity Analysis for Neural Networks (English, Daniel S. Yeung | Ian Cloete | Daming Shi)
by Daniel S. Yeung | Ian Cloete | Daming Shi
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Sensitivity Analysis for Neural Networks by Daniel S. Yeung | Ian Cloete | Daming Shi is listed under AI & Machine Learning on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
Springer
Language
English
ISBN-13
9783642025310
ISBN-10
3642025315
Author
Daniel S. Yeung | Ian Cloete | Daming Shi
About the Book
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 ori…
ISBN: 9783642025310
ISBN-13: 9783642025310
ISBN-10: 3642025315
Reader's Guide
What This Book Covers
- ·The main subject matter of Sensitivity Analysis for Neural Networks
- ·Ideas and detail relevant to AI & Machine Learning
- ·Context that helps make sense of the material as a whole
Best Suited For
Readers with an interest in AI & Machine Learning, from students to hobbyists.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
Frequently Asked Questions
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Daniel S. Yeung | Ian Cloete | Daming Shi is the author of Sensitivity Analysis for Neural Networks. Browse more books by Daniel S. Yeung | Ian Cloete | Daming Shi on BookBajar.
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What is the ISBN of Sensitivity Analysis for Neural Networks?
Sensitivity Analysis for Neural Networks has ISBN 9783642025310 (ISBN-10: 3642025315). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Sensitivity Analysis for Neural Networks?
About the Book Artificial neural networks are used to model systems that receive inputs and produce outputs.
Product ID: isbn-9783642025310
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