Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (2006) (Genetic and Evolutionary Computation)
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- Synopsis
- 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.
- Copyright:
- 2006
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9780387312408
- Related ISBNs:
- 9780387312392
- Publisher:
- Springer US
- Date of Addition:
- 02/08/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.