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文件名称:nn(S.Haykin)
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神经网络原理 Simon Haykin
基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation， Radial-Basis Function，Self-Organizing Maps，以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin covering the basic part of the neural network and the many important aspects. Like Back Propagation, Radial-Basis Function, Self-Organizing Maps, and the single neuron in the Hebbian Learning, Competitive Learning and LMS Learning.
基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation， Radial-Basis Function，Self-Organizing Maps，以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin covering the basic part of the neural network and the many important aspects. Like Back Propagation, Radial-Basis Function, Self-Organizing Maps, and the single neuron in the Hebbian Learning, Competitive Learning and LMS Learning.
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神经网络原理(S.Haykin).pdf
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