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Improved dynamical model for neural network and the stabilization of associative memory

机译:改进的神经网络动力学模型和联想记忆的稳定性

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摘要

A new neural network model with more biological background is presented. besides the usual prop- erties of internal potential, accumulation and output, the new model is endowed with some dynamical factors such as local potential accumulation, adaptive variation of the threshold, the lateral links among the corresponding neurons as well as the adaptive change of the link weights in the evolution of the network. The typical dynamics and characteris- tics of associative memory can also be demonstrated through varying the values of the parameters in the neural net- work.
机译:提出了具有更多生物学背景的新神经网络模型。除了内部电位,累积和输出的通常属性外,新模型还具有一些动力学因素,例如局部电位累积,阈值的自适应变化,相应神经元之间的横向联系以及神经元的自适应变化。网络演进中的链路权重。联想记忆的典型动力学和特征也可以通过改变神经网络中参数的值来证明。

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