神经元模型

基于小世界网络的一种脉冲耦合累积-发放神经元模型的老化机制和SOC行为研究

Effects of aging and Self-organized Criticality in a Pulse-coupled Integrate-and-Fire Neuron Model Based on small world networks

一类神经元模型的Hopf分岔

The Hopf Bifurcation of a Neuron Model

提出了凝固组织晶粒尺寸BP神经元模型。

A BP neural network model was put forward for the grain size of solidified structure .

非线性CC神经元模型的原理及其学习算法

The Principle & Learning Algorithm of Nonlinear CC Neural Model

详细讨论了BP神经网络模型的概念、基本结构、神经元模型和算法流程。

Detailed discuss concept , mode , basic fabric , nerve unit mode and algorithm process of BP neural network .

分别对BP神经网络和模糊神经网络的神经元模型，网络结构以及学习算法进行了详细的描述。

Respectively on the neuron model of BP neural network and fuzzy neural networks , network structure as well as a detailed description of the learning algorithm .

然后详细分析了BP神经网络模型的结构和算法，并引入智能神经元模型对BP神经网络进行改进。

Then a detailed analysis of the BP neural network model structure and BP Algorithm . The intelligent neuron is introduced , which improves the BP neural network .

PN神经元模型、LAC神经网络及学习算法，都是本文首次提出的。

PN model , LAC neural network and its learning algorithm are all put forward first time in this thesis .

多输出神经元模型的MFNN带正则化因子RLS算法

A regularizer for RLS algorithm in MFNN with Multioutput neural model

将具有自学习功能的单神经元模型与常规的PID控制算法相结合，设计了单神经元自适应PID控制器，并应用于大功率整流电源控制系统。

Combining the single neuron model with self-learning function with common PID control algorithm , single neuron adaptive PID controller is designed and applied to big-power rectification power supply controller system .

M-P神经元模型的几何意义及其应用

A Geometrical Representation of M P Neural Model and Its Applications

通过引入Shannon小波和Sigmoid函数加和组成的非单调激励函数，提出了一种新型的暂态混沌神经元模型。

A novel transiently chaotic neuron was presented by transferring sigmoid activation function into non-monotonous activation function composed of Shannon wavelet and Sigmoid .

然后，我们给出所研究的模型&Hodgkin-Huxley（HH）神经元模型的一些基本知识。

Then , we give some basic information about the neuron model we studied which given by Hodgkin and Huxley .

CUSI神经元模型的一般形式及其应用

The General Form of CUSI Neuron Model and Its Application

利用单神经元模型自学习和自适应特点，在传统PID控制基础上设计出了一种单神经元自适应PID控制器，并将其应用于电动油门控制系统中。

By the self - learning and self - adaptability of the single neuron model , a single neuron adaptive PID controller is designed based on the traditional PID control and is used in the dynamoelectric accelerograph control system .

目前以MP模型为基础的神经元模型，仅模仿神经元有无输出，而对最重要的什么时候产生动作电位并没有解释。

Currently , the neuron model based on the MP model only simulate the output process of neuron , however , it gives no explanations to when action potentials are generated .

以该振荡神经元模型为基础建立了两栖仿生机器蟹的八足控制的CPG模型，并利用该模型通过仿真实现了八足步态的生成。

CPG model for machine crab 's octopod gait control is made by adopting the neuron oscillator , and some gaits are generated using this model by simulation .

然后采用模拟驾驶员运动控制行为的单神经元模型，建立了汽车方向的单神经元自适应PID控制器，实现了传统汽车方向PID控制器的控制参数在线整定。

Second , using analog exercise control of the driver behavior model of single neuron , sets up an auto direction of single neuron self-adaptive PID controller , and achieves control parameters of the traditional auto direction PID controller tuning online .

Hindmarsh-Rose神经元模型的混沌控制

Chaotic control of the Hindmarsh-Rose neuron model

基于Hindmarsh-Rose神经元模型的模式分割

Pattern Segmentation Based on Hindmarsh-Rose Neuron Model

第五章研究了随机相关输入的Integrate-and-Fire神经元模型的最优解码问题。

Chapter 5 discusses optimally decoding the inputs of integrate-and-fire neuron model with correlated inputs .

随机相关输入的Integrate-and-Fire神经元模型

Integrate-and-Fire Neuronal Model with Correlated Stochastic Inputs

研究了白噪声在慢变系统中的Chay神经元模型的共振。

Coherent resonance in the Chay neuron model with white noise in the slow dynamics was studied .

研究了2个双向电突触耦合的完全相同的Hindmarsh-Rose神经元模型的完全同步问题。

Complete synchronization of two mutually coupled identical chaotic Hindmarsh-Rose neurons model with gap junction was studied .

通过谷氨酸损伤海马神经元模型的建立，研究田七、天麻、益智仁药组对Glu损伤胎鼠海马神经元的保护作用。

Through the establishment of glutamate injury model of hippocampal neurons , research Tianqi , Tianma , the protective effect of treating diabetes drug group Glu damage fetal hippocampal neurons . 3 .

方法在经典的HH神经元模型上，用不同频率和振幅的正弦电流作为刺激信号，仿真研究神经元的放电情况。

Method Discharge of neurons was investigated by simulation method basing on the classical H H model . The stimulus is sinusoidal current with different frequencies and amplitudes .

ICAM-5在缺氧缺糖神经元模型中的表达

The Expression of ICAM-5 in Oxygen-Glucose Deprivation Neuronal Model

阐述了构成人工神经网络（ANN）的M-P神经元模型的结构、输出输入的函数关系及人工神经网络中最常用的学习规则&BP网络。

The configuration of M-P neuron model composing artificial neural network ( ANN ), the relationship between output and input function , and conventional training rule ― BP network in ANN are elaborated .

它采用单神经元模型框架，引入了线性二次型最优控制中的状态反馈思想和控制律形式，从而具有与经典的LQR多变量控制方法相似的多变量处理能力。

It utilizes the basic single neuron model , introduces state feedback and control law formulation of LQR , is thus able to deal with multivariable control problem in the same way as LQR .

提出了一种直接控制的自适应神经元模型和神经网络结构，以及一种快速学习算法（FLA），并把该神经网络和算法用于驼峰速度控制系统。

A class of neural networks containing direct controlled adaptive neuron and the corresponding fast learning algorithm method are proposed for developing this new humping speed control system .