[erlang-questions] eBook version of the Handbook of Neuroevolution Through Erlang, is now available from Springer.
Sun Dec 9 12:02:54 CET 2012
Well done! As someone who always felt Erlang was a perfect match for certain branches of AI, I'm really excited to see this work in print. Hope others follow your example and get even more Erlang books written.
Gene Sher <> wrote:
>Quick update: I've recently convinced Springer to provide a discount.
>are offering 20% discount, with the discount code embedded in the
>link, good until 12/31:
>Also, if you have a University nearby, you can get a copy for just 25$,
>since Springer primarily deals with Universities and their Libraries,
>library and SpringerLink might already have access to the eBook. If you
>have access to SpringerLink, you can alternatively order a "MyCopy", a
>soft-cover version (black & white, rather than color) for $24.95.
>On Sun, Nov 11, 2012 at 12:02 AM, Gene Sher
>> Hello Erlangers,
>> The eBook version of my the Handbook of Neuroevolution Through
>> now in print:
>> 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
>> to finish
>> - Covers novel material for using Erlang in the construction of
>> - Explains why Neural Network based Computational Intelligence
>> 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
>> 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
>> Joe Armstrong, this handbook offers an extensive tutorial for
>> state of the art Topology and Weight Evolving Artificial Neural
>> (TWEANN) platform. In a step-by-step format, the reader is guided
>> single simulated neuron to a complete system. By following these
>> reader will be able to use novel technology to build a TWEANN system,
>> can be applied to Artificial Life simulation, and Forex trading.
>> Erlang’s architecture, it perfectly matches that of evolutionary and
>> neurocomptational systems. As a programming language, it is a
>> message passing paradigm which allows the developers to make full use
>> the multi-core & multi-cpu systems. *Handbook of Neuroevolution
>> Erlang* explains how to leverage Erlang’s features in the field of
>> machine learning, and the system’s real world applications, ranging
>> algorithmic financial trading to artificial life and robotics.
>> It covers in detail the subject of Neuroevolution, its applications,
>> Erlang is the quintessential neural network programming language, and
>> construction of DXNN2: https://github.com/CorticalComputer/DXNN2
>> A robust, purely Erlang, Topology and Weight Evolving Artificial
>> Network platform, capable of evolving direct and indirect systems,
>> without plasticity, and a hierarchical structure that yields easily
>> allow one to develop self-repairing intelligent agents.
>> Best regards,
>erlang-questions mailing list
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the erlang-questions