1st Edition
Applied Genetic Programming and Machine Learning
350 Pages
by
CRC Press
350 Pages
by
CRC Press
350 Pages
by
CRC Press
Also available as eBook on:
What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications.... Read more
Introduction. Genetic Programming. Numerical Approach to Genetic Programming. Classification by Ensemble of Genetic Programming Rules. Probabilistic Program Evolution. Appendix: GUI Systems and Source Codes. References. Index.
Biography
Iba, Hitoshi; Hasegawa, Yoshihiko; Paul, Topon Kumar
