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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
Bibliography
Aarts,
E., and van Laarhoven, P. (1987). Simulated Annealing: Theory
and Practice. John Wiley and Sons, New York.
Abe,
S., Kayama, M., Takenaga, H., and Kitamura, T. (1992). "Neural
Networks as a Tool to Generate Pattern Classification Algo-
rithms." International Joint Conference on Neural Networks,
Baltimore, MD.
Acton, Forman S. (1959). Analysis of Straight-Line Data. Dover
Publications, New York.
Acton, Forman S. (1970). Numerical Methods That Work. Harper &
Row, New York.
Anderson, James and Rosenfeld, Edward, eds. (1988). Neuro-
computing: Foundations of Research. MIT Press, Cambridge,
MA.
Austin, Scott (1990). "Genetic Solution ...
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Publisher Resources

ISBN: 9780080514338