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ROBUST HOPFIELD MODEL NEURAL NETWORK SUITABLE FOR CONTROL OF PACKET SWITCHING
ROBUST HOPFIELD MODEL NEURAL NETWORK SUITABLE FOR CONTROL OF PACKET SWITCHING
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机译:鲁棒霍普模型神经网络适用于分组切换控制
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摘要
A neural network based on the Hopfield model is used to operate a high speed packet switch, particularly for use in a broad band switching system. The optimisation parameters are established in a novel methodical way, and imposed attractors arc used substantially to increase the speed of convergence. To reduce the likehood of local minima being found, noise is introduced into the system by varying a parameter of the neuron transfer function from iteration to iteration.
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