Applied Genetic Programming and Machine Learning

ISBN: 9780367385279 出版年:2009 页码:354 Iba, Hitoshi Hasegawa, Yoshihiko Paul, Topon Kumar CRC Press

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Reflecting rapidly developing concepts and newly emerging paradigms in intelligent machines, this text is the first to integrate genetic programming and machine learning techniques to solve diverse real-world tasks.These tasks include financial data prediction, day-trading rule development; and bio-marker selection. Written by a leading authority, this text will teach readers how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source codes and GUIs are available for download from the author's website.

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