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

Prashant Sharma <>
Sun Nov 11 08:38:45 CET 2012


+1

On Sun, Nov 11, 2012 at 12:00 PM, Michael Turner
<> wrote:
> 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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>> 
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>>
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-- 
Prashant Sharma
Development Engineer
Pramati Technologies
Begumpet

"Hare Krishna"



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