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文件名称:Neuron-model-code
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模拟人类实际神经网络的数学方法问世以来,人们已慢慢习惯了把这种人工神经网络直接称为神经网络。神经网络在系统辨识、模式识别、智能控制等领域有着广泛而吸引人的前景,特别在智能控制中,人们对神经网络的自学习功能尤其感兴趣,并且把神经网络这一重要特点看作是解决自动控制中控制器适应能力这个难题的关键钥匙之一。
-Since the actual neural network simulation of human mathematical methods available, it has gradually become accustomed to this kind of artificial neural network called neural networks directly. Neural network system identification, pattern recognition, intelligent control and other fields have a wide and attractive prospects, especially in intelligent control, people' s self-learning function of neural networks are particularly interested in, and the neural network is seen as an important feature of this One of the keys to solve the automatic control of the key controller' s ability to adapt to this problem.
-Since the actual neural network simulation of human mathematical methods available, it has gradually become accustomed to this kind of artificial neural network called neural networks directly. Neural network system identification, pattern recognition, intelligent control and other fields have a wide and attractive prospects, especially in intelligent control, people' s self-learning function of neural networks are particularly interested in, and the neural network is seen as an important feature of this One of the keys to solve the automatic control of the key controller' s ability to adapt to this problem.
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Neuron model code.doc
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