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Memory Retrieval in a Neural Network with Chaotic Neurons and Dynamic Synapses

机译:用混沌神经元和动态突触的神经网络中的记忆检索

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An associative neural network with chaotic neuron model and synap-tic depression (CSDNN) is constructed. Memory switching phenomenon in the network is demonstrated. Simulation results show that with various parameter value settings and with various initial conditions, the memory retrieval frequency of CSDNN distributes uniformly among the stored patterns, and the rate of memory retrieval of CSDNN is much higher than that of a chaotic neural network. The possible utilization of memory retrieval in CSDNN is also discussed.
机译:构建了具有混沌神经元模型和同步抑郁症(CSDNN)的联想神经网络。展示了网络中的内存切换现象。仿真结果表明,通过各种参数值设置和具有各种初始条件,CSDNN的存储器检索频率在存储的模式中均匀地分布,并且CSDNN的存储器检索速率远高于混沌神经网络的速率。还讨论了CSDNN中的存储器检索的可能利用。

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