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Handbook of neuroevolution through Erlang / Gene I. Sher



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Creatore: Sher, Gene I. Visualizza persona
Titolo: Handbook of neuroevolution through Erlang / Gene I. Sher
Link to work: Handbook of neuroevolution through Erlang Visualizza cluster
Pubblicazione: New York, NY : Springer, ©2013
Estensione: 1 online resource
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 570.285
Genere/Forma: Electronic books
Handbooks and manuals
Handbooks
Index term-Uncontrolled: Computer science
Software engineering
Artificial intelligence
Bioinformatics
Software Engineering/Programming and Operating Systems
Computational Biology/Bioinformatics
Soggetto non controllato: Computer science
Software engineering
Artificial intelligence
Bioinformatics
Software Engineering/Programming and Operating Systems
Computational Biology/Bioinformatics
Termine d'indicizzazione-Occupazione: Computer science
Software engineering
Artificial intelligence
Bioinformatics
Software Engineering/Programming and Operating Systems
Computational Biology/Bioinformatics
Classificazione: 54.10
54.72
Classificazione LOC: QH324.2 .S54 2013
CDU: <0>Computational intelligence.
Contenuto supplementare: Includes bibliographical references.
Nota di contenuto: Part 1. FOUNDATIONS -- Introduction to Neural Networks -- Introduction to Evolutionary Computation -- Introduction to Neuroevolutionary Methods -- The Unintentional Neural Network Programming Language -- Introduction: Applications & Motivations -- Part 2. NEUROEVOLUTION: TAKING THE FIRST STEP -- Developing a Feed Forward Neural Network -- Adding the "Stochastic Hill-Climber" Learning Algorithm -- Developing a Simple Neuroevolutionary Platform -- Testing the Neuroevolutionary System -- Part 3. A Case Study -- DXNN: A Case Study -- Part 4. Advanced Neuroevolution: Creating the Cutting Edge -- Decoupling & 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 -- Part 5. Applications -- Artificial Life -- Evolving Currency Trading Agents -- Part 6. Promises Kept -- Conclusion.
Restrizioni accesso: Access is restricted to users affiliated with licensed institutions.
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 & 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.
Lingua: English.
ISBN: 9781461444633
1461444632
1461444624
9781461444626
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 004625618
Localizzazioni e accesso elettronico https://ebookcentral.proquest.com/lib/nyulibrary-ebooks/detail.action?docID=1030905
Collocazione: Electronic access
Lo trovi qui: New York University
Altra ed. diverso supporto: Handbook of neuroevolution through Erlang (NL-LeOCL)352125705