Introduction to Neural Networks with Java

Introduction to Neural Networks with Java

简介:

Java中的神经网络简介向Java程序员介绍了神经网络和人工智能的世界。讨论了神经网络体系结构,例如前馈反向传播,Hopfield和Kohonen网络。还介绍了其他AI主题,例如遗传算法和模拟退火。

给出了每个神经网络的实际例子。示例包括旅行推销员问题,手写识别,模糊逻辑和学习数学函数。所有Java源代码都可以在线下载。除了向程序员展示如何构建这些神经网络之外,本书还讨论了Java面向对象神经引擎 (JOONE)。JOONE是一个免费的开源Java神经引擎。

英文简介:

Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced.

Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.

书名
Introduction to Neural Networks with Java
译名
Java 神经网络简介
语言
英语
年份
2005
页数
382页
大小
3.80 MB
标签
  • Java
  • 下载
    pdf iconIntroduction to Neural Networks with Java.pdf
    密码
    65536

    最后更新:2025-04-12 23:54:38

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