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chap4_1
- 本程序是对基于单神经元网络的PID智能控制来进行仿真！-the procedure is based on single neuron network of intelligent PID control for simulation!
11
- 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
rbf
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-RBF neural network-based identification of single neuron PID model reference adaptive control
CHAPTER4
- 本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。-This paper discusses the nerv
chaos_neural_networks
- 混沌神经网络模型，包括二个和三个混沌神经元组成的网络-Chaotic neural network model, including two and three chaotic neuron network
chap4_5
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-RBF neural network-based identification of single neuron PID model reference adaptive control
neurospiketrain
- Neuron system spike train
lab-20-10-09
- 机器人模拟的仿真程序，还有一个神经网络模拟的程序。建立2层网络神经。-ROBOT SIMULATION PROGRAM, AND NETWORK NEURON
CellSort_1.1
- This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full descr iption and validation of the method is provided in the paper, "Autom
nnet
- 神经网络在matlab中的使用说明书 也是新手上手的好东西-Neuron Network Architectures
Neuron-Network
- 国外神经网络最好的入门书籍，英文原版，内容通俗晚懂-The best entry of foreign books on neural networks, the English original
single-neuron-
- 单神经元自适应网络，完成神经网络PID控制，输出采用龙格库塔法-The single neuron adaptive network
McCulloch-Pitts-Neuron
- McCulloch-Pitts Neuron
Neuron-Model
- 一个神经元模型的C编程算法，我也不知道还怎么说了-A neuron model of the C programming algorithm
single-neuron-adaptive-PID
- 用C语言实现“单神经元自适应PID控制”-Using C language to achieve the single neuron adaptive PID control
Single-neuron-adaptive-pid
- 自适应神经元PID算法，此算法经过仿真验证过，好用。-Adaptive neuron PID algorithm, this algorithm through simulation, works.
Self--Adjustment-of-Neuron-I
- a self-adjustment algorithm based on GAP-RBF is proposed for solving how to choose the overlap factorfor calculating neuron impact width.-In this paper, we propose a Constructive Enhancement for OS-ELM (CEOS-ELM), which can add random hidden
Neuron
- simple Neuron struction
hhcell
- simulates simple neuron pulse propagation based on HH model
new1_1
- 混沌神经网络的单神经元模型，输出李雅普诺夫指数和a的图谱(Chaotic neuron model. Output Lyapunov as y, a as x.)