Advanced Algorithms for Neural Networks: A C++ Sourcebook
A valuable working resource for anyone who uses neural networks to solve real-world problemsThis practical guide contains a wide variety of state-of-the-art algorithms that are useful in the design and implementation of neural networks. Get and download textbook Advanced Algorithms for Neural Networks: A C++ Sourcebook for free
payment | shipping rates | returns We accept only PayPal for eBay orders Advanced Algorithms for Neural Networks: A C++ Sourcebook BookBuyers SKU: mon0001002034 Product Category :Books ISBN :0471105880 Title :Advanced Algorithms for Neural Networks: A C++ Sourcebook EAN :9780471105886 Authors :Masters, Timothy Binding :Paperback Publisher :Wiley Publication Date :1995-04-03 Pages :448 Signed :False First Edition :False Dust Jacket :False List Price (MSRP) :44.95 Height :1.2000 inches Width :7.6
All algorithms are presented on both an intuitive and a theoretical level, with complete source code provided on an accompanying disk. Several training algorithms for multiple-layer feedforward networks (MLFN) are featured. The probabilistic neural network is extended to allow separate sigmas for each variable, and even separate sigma vectors for each class. The generalized regression neural network is similarly extended, and a fast second-order training algorithm for all of these models is provided. The book al Advanced Algorithms for Neural Networks new edition
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Advanced Algorithms for Neural Networks: A C++ Sourcebook ISBN :9780471105886 Title :Advanced Algorithms for Neural Networks: A C++ Sourcebook Authors :Masters, Timothy Binding :Paperback Publisher :Wiley Publication Date :Apr 17 1995 Edition : Condition :Used - Very Good Book has light reading wear overall; a good reading/study copy.Your purchase helps put people to work and learn life skills to reach their full potential, Thank you.
Advanced Algorithms for Neural Networks, ISBN-13: 9780471105886, ISBN-10: 0471105880
Softcover book, 448 pages. Published by John Wiley & Sons
Advanced Algorithms for Neural Networks Textbook
All algorithms are presented on both an intuitive and a theoretical level, with complete source code provided on an accompanying disk. Several training algorithms for multiple-layer feedforward networks (MLFN) are featured. The probabilistic neural network is extended to allow separate sigmas for each variable, and even separate sigma vectors for each class. The generalized regression neural network is similarly extended, and a fast second-order training algorithm for all of these models is provided
ll algorithms are presented on both an intuitive and a theoretical level, with complete source code provided on an accompanying disk. Several training algorithms for multiple-layer feedforward networks (MLFN) are featured. The probabilistic neural network is extended to allow separate sigmas for each variable, and even separate sigma vectors for each class. The generalized regression neural network is similarly extended, and a fast second-order training algorithm for all of these models is provided. The book al
