人工神经网络是由众多连接权值可调的神经元连接而成,具有大规模并行处理、分布式信息存储、良好的自组织自学习能力等特点,能够完成模式识别、机器学习以及预测趋势等任务。
本书通过9章内容,并结合Java编程语言,由浅入深地介绍了神经网络算法的应用。书中涉及神经网络的构建、神经网络的结构、神经网络的学习、感知机、自组织映射等核心概念,并将天气预测、疾病诊断、客户特征聚类、模式识别、神经网络优化与自适应等经典案例囊括其中。本书在附录中详细地指导读者进行开发环境的配置,帮助读者更加顺利地进行程序开发。
本书非常适合对神经网络技术感兴趣的开发人员和业余读者阅读,读者无需具备Java编程知识,也无需提前了解神经网络的相关概念。本书将从零开始为读者进行由浅入深地讲解。
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Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2017-09-01 Pages: $number Language: Chinese Publisher: People posts and telecommunications publishing house artificial neural network is connected by many connected weights. which have large-scale parallel processing. distributed information storage. Good self-organizing self-learning ability and so on. can complete pattern recognition. machine learning and forecast trend . Seller Inventory # DP041486