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Handbook of Neuroevolution Through Erlang [electronic resource] / by Gene I. Sher



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Creatore: Sher, Gene I. author Visualizza persona
Titolo: Handbook of Neuroevolution Through Erlang [electronic resource] / by Gene I. Sher
Link to work: Handbook of neuroevolution through Erlang Visualizza cluster
Pubblicazione: New York, NY : Springer New York : Imprint : Springer, 2013
Edizione: 1st ed. 2013.
Estensione: 1 online resource (XX, 831 pages) : 172 illustrations
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 005.1
Titolo uniforme di collana: Computer Science (Springer-11645)
Classificazione LOC: QA76.758
Accesso ente: SpringerLink (Online service)
Nota di contenuto: Introduction: Applications and Motivations -- Introduction to Neural Networks -- Introduction to Evolutionary Computation -- Introduction to Neuroevolutionary Methods -- The Unintentional Neural Network Programming Language -- Developing a Feed Forward Neural Network -- Adding the "Stochastic Hill-Climber" Learning Algorithm -- Developing a Simple Neuroevolutionary Platform -- Testing the Neuroevolutionary System -- DXNN: A Case Study -- Decoupling and Modularizing Our Neuroevolutionary Platform -- Keeping Track of Important Population and Evolutionary Stats -- The Benchmarker -- Creating the Two Slightly More Complex Benchmarks -- Neural Plasticity -- Substrate Encoding -- Substrate Plasticity -- Artificial Life -- Evolving Currency Trading Agents -- Conclusion.
Restrizioni accesso: Restricted for use by site license.
Sommario/riassunto: 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 and 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.
ISBN: 978-1-4614-4463-3
9781461444633
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9960102223503681
Lo trovi qui: University of Pennsylvania
Item: Permalink to OPAC
Altra ed. diverso supporto: Printed edition: 9781461444640 Printed edition: 9781461444626 Printed edition: 9781493945887 Fa parte di: Springer eBooks