Handbook of Neuroevolution Through Erlang

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234,33 

ISBN: 1493945882
ISBN 13: 9781493945887
Autor: Sher, Gene I
Verlag: Springer Verlag GmbH
Umfang: xx, 831 S., 172 s/w Illustr., 831 p. 172 illus.
Erscheinungsdatum: 23.08.2016
Auflage: 1/2013
Produktform: Kartoniert
Einband: Kartoniert

Provides a friendly step-by-step guide on the construction of Topology and Weight Evolving Artificial Neural Network systems from start to finishCovers novel material for using Erlang in the construction of TWEANN systemsExplains why Neural Network based Computational Intelligence systems map perfectly to Erlang’s architecture, and the importance of this programming language to the future of computational intelligenceIntroduces new TWEANN algorithms, with the final result being a concurrent, cutting edge, direct and indirect encoded, plasticity enabled, TWEANN platform

Artikelnummer: 2875994 Kategorie:

Beschreibung

Handbook of Neuroevolution Through Erlang presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang. With a foreword written by Joe Armstrong, this handbook offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system. By following these steps, the reader will be able to use novel technology to build a TWEANN system, which can be applied to Artificial Life simulation, and Forex trading. Because of Erlang's architecture, it perfectly matches that of evolutionary and neurocomptational systems. As a programming language, it is a concurrent, message passing paradigm which allows the developers to make full use of the multi-core & multi-cpu systems. Handbook of Neuroevolution Through Erlang explains how to leverage Erlang's features in the field of machine learning, and the system's real world applications, ranging from algorithmic financial trading to artificial life and robotics.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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