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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.
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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