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One of the major difficulties facing researchers using neural networks is the selection of the proper size and topology of the networks. The problem is even more complex because often when the neural network is trained to very small errors, it may not respond properly for patterns not used in the training process. A partial solution proposed to this problem is to use the least possible number of neurons...
The model of spike neuron, structure of spike neural networks are considered and their classification was made. The training procedures used to spike neural networks are described.
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