| 书目名称 | Evolutionary Algorithms and Neural Networks | | 副标题 | Theory and Applicati | | 编辑 | Seyedali Mirjalili | | 视频video | | | 概述 | Introduces beginners to evolutionary algorithms and artificial neural networks.Shows how to train artificial neural networks using evolutionary algorithms.Includes extensive examples of the proposed t | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.. | | 出版日期 | Book 2019 | | 关键词 | Optimization for Real World Problems; Single-objective Optimization Algorithm; Stochastic Optimization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-93025-1 | | isbn_softcover | 978-3-030-06572-0 | | isbn_ebook | 978-3-319-93025-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer International Publishing AG, part of Springer Nature 2019 |
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发表于 2025-3-21 16:43:19
