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Book
Handbook of neuroevolution through Erlang
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ISBN: 1461444624 1461444632 1283848880 Year: 2013 Publisher: New York : Springer,

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Abstract

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.

Keywords

Application software -- Development. --- Bioinformatics -- Handbooks, manuals, etc. --- Computational biology -- Handbooks, manuals, etc. --- Computational intelligence. --- ERLANG (Computer program language). --- Medicine -- Data processing. --- Parallel programming (Computer science). --- Computational biology --- Bioinformatics --- ERLANG (Computer program language) --- Engineering & Applied Sciences --- Biology --- Health & Biological Sciences --- Biology - General --- Computer Science --- Computer programming. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Programming --- Computer science. --- Software engineering. --- Artificial intelligence. --- Bioinformatics. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Artificial Intelligence (incl. Robotics). --- Computational Biology/Bioinformatics. --- Coding theory --- Declarative programming languages --- Elixir (Computer program language) --- Artificial Intelligence. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer software engineering --- Engineering --- Data processing


Digital
Handbook of Neuroevolution Through Erlang
Author:
ISBN: 9781461444633 Year: 2013 Publisher: New York, NY Springer

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Export citation

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Bookmark

Abstract

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.

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