Adaptive Learning of Polynomial Networks is popular PDF and ePub book, written by Nikolay Nikolaev in 2006-08-18, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Adaptive Learning of Polynomial Networks can be Read Online from any device for your convenience.
Adaptive Learning of Polynomial Networks Book PDF Summary
This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.
Detail Book of Adaptive Learning of Polynomial Networks PDF
- Author : Nikolay Nikolaev
- Release : 18 August 2006
- Publisher : Springer Science & Business Media
- ISBN : 9780387312408
- Genre : Computers
- Total Page : 329 pages
- Language : English
- PDF File Size : 13,8 Mb
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