The artificial neuron model and backbone structure of neural network is introduced.
介绍了人工神经元模型与神经网络基本结构。
Based on the HH neuron model, we investigate the effects of patch temperature on the spontaneous action potentials for finite size of membrane patch.
在前面介绍模型的基础上，本文考虑了温度对有限大小膜面积的神经元系统的影响。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
Reviews the research progress of chaotic neuron model and chaotic neural networks in recent years, introduces the characteristics and application of the chaotic neural networks.
回顾了近年来几种主要混沌神经元模型及混沌神经网络的研究进展，介绍了其特点及主要的应用。
The novel method of the fuzzy neuron model-free coordination control is proposed for a unit power plant with uncertainties in this paper.
本文提出了具有不确定性火电单元机组的一种前馈模糊神经非模型协调控制方法。
However, the traditional M-P neuron model which used connective weights and a nonlinear activation function simulate the operation of neural's synapse and soma respectively.
然而，传统神经元的M - P模型用连接权值和非线性激活函数分别模仿神经元的突触和细胞体的作用。
The calculation results indicate that the precision of method based on predictive neuron model is evidently higher than that of conventional Durbin algorithm and lattice algorithm.
计算结果表明，运用预测神经元方法所得到的线性预测系数，精度明显高于传统的杜宾算法和格型算法。
The calculation results indicate that the precision of method based on predictive neuron model is evidently higher than that of conventional Durbin algorithm and lattice algorithm.
计算结果表明，运用预测神经元方法所得到的线性预测系数，精度明显高于传统的杜宾算法和格型算法。
应用推荐