Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods
Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods is a book. It was written by Nikolay Y. Nikolaev and published by : Springer in 2006.
Key facts
- author: Nikolay Y. Nikolaev
- publication date: 2006
- book publisher: : Springer
- book series: Genetic and evolutionary computation series
- book subjects: Neural networks (Computer science), Genetic algorithms, Genetic programming (Computer science)
Extract data
Download datasets about Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods:
Dataset of books series that contain Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods:
Dataset of book subjects that contain Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods:
"Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods" is one of the books by Nikolay Y. Nikolaev, books by : Springer and 2,617,384 books in our database.
Related
Connected or similar to Adaptive learning of polynomial networks : genetic programming, backpropagattion and Bayesian methods: .
This dashboard is based on data from: The British Library.
This content is available under the CC BY 4.0 license.