神经网络原理

所属分类:数值算法/人工智能
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文件大小:13572KB
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说明:  神经网络动力学模型研究由短期记忆和分层前馈网络构成的动态系统, 反馈非线性动态系统的稳定性和联想记忆,以及另一类非线性动态驱动的递归网络系统。 本书注重对数学分析方法和性能优化的讨论,强调神经网络在模式识别、信号处理和控制 系统等实际工程问题中的应用。书中包含大量例题和习题,并配有13个基于MATLAB软件的计算 机实验程序。
(Neural network dynamics model studies the dynamic system consisting of short-term memory and hierarchical feedforward network, the stability and associative memory of feedback nonlinear dynamic system, and another kind of recursive network system driven by non-linear dynamics. This book focuses on the discussion of mathematical analysis methods and performance optimization, emphasizing the application of neural networks in practical engineering problems such as pattern recognition, signal processing and control systems. The book contains a large number of examples and exercises, and is equipped with 13 computer experimental programs based on MATLAB software.)

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神经网络原理.pdf (14503000, 2013-05-25)

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