£116.92

Springer Gene Expression Programming - AI Mathematical Modeling

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Description

Master the fundamentals of gene expression programming (GEP) with this comprehensive monograph from Springer. Written by Candida Ferreira, this book provides a thorough description of the basic ideas behind GEP and explores numerous modifications to this powerful algorithm. It is designed to be accessible, providing all necessary implementation details so that readers with elementary programming skills can implement the algorithm themselves. Beyond technical implementation, this text serves as a self-contained introduction to the field of computational intelligence. You will learn about several new algorithms used for decision tree induction, data mining, and classifier systems. The content also covers practical applications such as function finding, polynomial induction, time series prediction, and the evolution of linking functions. This is an essential resource for anyone looking to understand the mathematical modeling capabilities of artificial intelligence through the lens of GEP.

Key Features

Comprehensive guide to gene expression programming (GEP) and its many algorithm modifications.

Includes full implementation details suitable for readers with elementary programming skills.

Provides a self-contained introduction to the field of computational intelligence.

Covers advanced applications including decision tree induction and data mining.

Explores diverse uses such as classifier systems, function finding, and polynomial induction.

Detailed sections on time series prediction and the evolution of linking functions.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
24 May 2006
Listed Since
04 January 2007

Barcode

No barcode data available

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