Adaptive Learning of Polynomial Networks
| Author | : Nikolay Nikolaev |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 329 |
| Release | : 2006-08-18 |
| ISBN-10 | : 9780387312408 |
| ISBN-13 | : 0387312404 |
| Rating | : 4/5 (404 Downloads) |
Book Synopsis Adaptive Learning of Polynomial Networks by : Nikolay Nikolaev
Download or read book Adaptive Learning of Polynomial Networks written by Nikolay Nikolaev and published by Springer Science & Business Media. This book was released on 2006-08-18 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
