Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods /
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling whe...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2006.
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| Series: | Genetic and Evolutionary Computation
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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