Applied genetic programming and machine learning

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 samplea 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. INDICE: 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.

• ISBN: 978-1-4398-0369-1
• Editorial: CRC Press
• Encuadernacion: Cartoné
• Páginas: 327
• Fecha Publicación: 03/08/2009
• Nº Volúmenes: 1
• Idioma: Inglés