Introduction to Neural Networks for Java, 2/e (Paperback)
暫譯: Java 神經網絡入門（第二版）
Jeff Heaton
- 出版商: Heaton Research
- 出版日期: 2008-09-15
- 售價: $1,940
- 貴賓價: 9.5 折 $1,843
- 語言: 英文
- 頁數: 440
- 裝訂: Paperback
- ISBN: 1604390085
- ISBN-13: 9781604390087
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相關分類:
Java 程式語言
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商品描述
Introduction to Neural Networks with Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All Java source code is available online for easy downloading.
商品描述(中文翻譯)
《Java 神經網絡入門（第二版）》向 Java 程式設計師介紹了神經網絡和人工智慧的世界。書中討論了多種神經網絡架構，例如前饋網絡（feedforward）、霍普菲爾德網絡（Hopfield）和自組織映射（self-organizing map）架構。還介紹了訓練技術，如反向傳播（backpropagation）、遺傳演算法（genetic algorithms）和模擬退火（simulated annealing）。每種神經網絡都提供了實際範例，包括旅行推銷員問題（traveling salesman problem）、手寫識別（handwriting recognition）、金融預測（financial prediction）、遊戲策略（game strategy）、數學函數（mathematical functions）和網路機器人（Internet bots）。所有 Java 原始碼均可在線下載，方便使用。
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