-63% OFFSensitivity Analysis for Neural Networks (English, Daniel S. Yeung | Ian Cloete | Daming Shi)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783642025310 |
| ISBN-10 | 3642025315 |
| Author | Daniel S. Yeung | Ian Cloete | Daming Shi |
Product Description
Here on GlowMirror, you'll find Sensitivity Analysis for Neural Networks filed under AI & Machine Learning -- everything you need to know is covered below.
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
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Sensitivity Analysis for Neural Networks
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in AI & Machine Learning
Who Should Read This
Students and professionals interested in AI & Machine Learning, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy

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