Handbook of Neuroevolution Through Erlang [electronic resource] / by Gene I. Sher
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| Creatore: |
Sher, Gene I.
|
| Titolo: |
Handbook of Neuroevolution Through Erlang [electronic resource] / by Gene I. Sher
|
| Link to work: |
Handbook of neuroevolution through Erlang
|
| Pubblicazione: | New York, NY : Springer New York : Imprint : Springer, 2013 |
| Estensione: | XX, 831 p. 172 illus. digital. |
| Disciplina: | 005.1 |
| Classificazione LOC: | QA76.758 |
| Accesso ente: | SpringerLink (Online service) |
| Nota di contenuto: | <p>Introduction: Applications & 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 & 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. </p>. |
| Sommario/riassunto: | <i>Handbook of Neuroevolution Through Erlang</i> 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. <i>Handbook of Neuroevolution Through Erlang</i> 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 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 012141350 |
| Localizzazioni e accesso elettronico | http://dx.doi.org/10.1007/978-1-4614-4463-3 |
| Lo trovi qui: | University of Michigan Ann Arbor |
| Item: | Permalink to OPAC |
Altra ed. diverso supporto:
Printed edition: 9781461444626