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Artificial Neural Networks in Real-Life Applications offers an outlook on the most recent works in the field of artificial neural networks (ANN). It includes theoretical developments of the ANN area and applications of these systems, using intelligent characteristics for adaptability, automatic learning, classification, prediction and even artistic creation. Artificial Neural Networks in Real-Life Applications is a summary of recent advances in the ANN area from a practical perspective. It shows studies of the applications in time series forecasting, extraction of knowledge, civil...

Evolutionary computation can be viewed as a set of techniques conceptually inspired by biological processes. Among that techniques, one of the most used are Genetic Programming. They follow the Darwin Law's to find the solution of a problem. The overall objective of this book is to provide a roadmap with which to find the way toward finding computational solutions to various problems. To this end, a general introduction is presented of the methods and techniques associated with the Genetic Programming technique. In this context, this book ought not be viewed as an exhaustive or comprehensive...