[erlang-questions] eBook version of the Handbook of Neuroevolution Through Erlang, is now available from Springer.

Michael Turner <>
Sun Nov 11 07:30:04 CET 2012


I've already congratulated Gene privately. I'd like to repeat the
congratulations publicly, while also point out that the beautifully
illustrated NN tutorial at TrapExit

   http://www.trapexit.org/Erlang_and_Neural_Networks

doesn't seem to actually work. At least, when I tried, I couldn't get
it to work. Inquiries to both the author and to this mailing list
failed to turn up solutions. If in fact Erlang is a very good language
for NN work, I can only hope that Gene's book will inspire someone to
fix this tutorial.

-michael turner

On Sun, Nov 11, 2012 at 2:02 PM, Gene Sher <> wrote:
> Hello Erlangers,
>
> The eBook version of my the Handbook of Neuroevolution Through Erlang, is
> now in print: http://www.springer.com/computer/swe/book/978-1-4614-4462-6
> The Hardcover book will be available within the next 2-3 weeks from Amazon,
> Barnes & Noble, and Springer directly.
>
> Book overview:
>
> Provides a friendly step-by-step guide on the construction of Topology and
> Weight Evolving Artificial Neural Network systems from start to finish
> Covers novel material for using Erlang in the construction of TWEANN systems
> Explains why Neural Network based Computational Intelligence systems map
> perfectly to Erlang’s architecture, and the importance of this programming
> language to the future of computational intelligence
> Introduces new TWEANN algorithms, with the final result being a concurrent,
> cutting edge, direct and indirect encoded, plasticity enabled, TWEANN
> platform
>
> 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.
>
> It covers in detail the subject of Neuroevolution, its applications, why
> Erlang is the quintessential neural network programming language, and the
> construction of DXNN2: https://github.com/CorticalComputer/DXNN2
> A robust, purely Erlang, Topology and Weight Evolving Artificial Neural
> Network platform, capable of evolving direct and indirect systems, with and
> without plasticity, and a hierarchical structure that yields easily to allow
> one to develop self-repairing intelligent agents.
>
> Best regards,
> -Gene
>
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