| 書目名稱 | Handbook of Neuroevolution Through Erlang | | 編輯 | Gene I. Sher | | 視頻video | http://file.papertrans.cn/422/421767/421767.mp4 | | 概述 | 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 construc | | 圖書封面 |  | | 描述 | .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. | | 出版日期 | Book 2013 | | 關鍵詞 | Algorithmic trading; Artificial Life; Artificial intelligence; Computational intelligence; Computer visi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-4463-3 | | isbn_softcover | 978-1-4939-4588-7 | | isbn_ebook | 978-1-4614-4463-3 | | copyright | Springer Science+Business Media New York 2013 |
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