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£113.05
Springer Adaptive Learning of Polynomial Networks Book
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Description
Key Features
Learn to develop algorithms for inferring both linear and non-linear multivariate models from complex datasets.
Master a specific methodology for the inductive learning of polynomial neural network models (PNN).
Follow an organized identification process to discover models that generalize and predict with high accuracy.
Explore how genetic programming and backpropagation work together to improve PNN model performance.
Gain practical knowledge for applying these evolutionary and Bayesian methods to solve real-world tasks.
Access an essential reference designed specifically for researchers and practitioners in the AI field.
Product Specifications
- Brand
- Springer
- Format
- Paperback
- ASIN
- 144194060X
- Domain
- Amazon UK
- Release Date
- 11 February 2011
- Listed Since
- 14 June 2010
Barcode
No barcode data available
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