Practical Neural Network Recipies in C++. Masters

Practical Neural Network Recipies in C++


Practical.Neural.Network.Recipies.in.C..pdf
ISBN: 0124790402,9780124790407 | 509 pages | 13 Mb


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Practical Neural Network Recipies in C++ Masters
Publisher: Morgan Kaufmann




Kosko, B., Neural Networks and Fuzzy Systems, 1992, Englewood Cli s: Prentice Hall. Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives. A neural network tool is needed to facilitate the manipulation of the network .. Practical Neural Network Recipes in C++ by Timothy Masters, July 1997, Academic Press edition, Paperback in English. These generic implementations illustrate the adaptive nature inherent in neural networks; however, deviating from standard architectures and gearing the design specifically for a problem can sometimes reduce network training time and improve network accuracy. Harcourt Brace Jovanovic, Boston, 1993. Network Training with QuickProp— A Computer Experiment 170. Practical Neural Network Recipes in C++. Neural Network Modeling: Statistical Mechanics and Cybernetic. Neural networks are used as a distributed computer. Neural network PC tools: a practical guide - Russell C. We outlined the development cycle for a neural network application .

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