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Handbook of neuroevolution through Erlang / Gene I. Sher, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA.



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Creatore: Sher, Gene I., author Visualizza persona
Titolo: Handbook of neuroevolution through Erlang / Gene I. Sher, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA.
Link to work: Handbook of neuroevolution through Erlang Visualizza cluster
Pubblicazione: New York : Springer, [2013]
Copyright: ©2013
Estensione: 1 online resource (xx, 831 pages) : illustrations
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 570.285
Classificazione LOC: QH324.2 .S534 2013eb
Contenuto supplementare: Includes bibliographical references.
Restrizioni accesso: Access restricted to authorized users and institutions.
Sommario/riassunto: This book presents the theory and methodology of developing a neuroevolutionary-based computational intelligence system using Erlang. It offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. The reader is guided from a single simulated neuron to a complete system and will be able to use novel technology to build a TWEANN system, which can be applied to Artificial Life simulation, and Forex trading. Erlang's architecture perfectly matches that of evolutionary and neurocomptational systems. As a programming language, it is a concurrent, message passing paradigm which allows developers to make full use of the multi-core & multi-cpu systems. It 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. --
ISBN: 9781461444633
9781461444626
1461444624
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 7049708
Localizzazioni e accesso elettronico http://www.books24x7.com/marc.asp?bookid=76622
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