Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods /
This book provides theoretical and practical knowledge for develop{u00AD} ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod{u00AD} els from data. The design of such tools contributes to better statistical data m...
| Main Author: | Nikolaev, Nikolay Y. |
|---|---|
| Other Authors: | Iba, Hitoshi., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer Science+Business Media, Inc.,
2006.
Boston, MA : 2006. |
| Physical Description: |
1 online resource (volumes). |
| Series: |
Genetic and evolutionary computation series.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |