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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!
LVQ学习矢量化算法
- LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The
NoiseNeuralNetwork
- 单输出的神经元网络拟合有噪声干扰的函数：y=x1/(1+x1) + x2/(1+x2) + x3/(1+x3) + x4/(1+x4)-single output neuron network fitting a noise function : y = x / (1 x1) x2 / (1 x2) x3 / (1 x3) x / (1 x4)
vc-LMS
- vc＋＋实现神经网络的LMS算法，并可以自动选择神经元个数-vc + + LMS neural network algorithm, and can automatically choose Neuron Number
gzj
- 在VC++上实现感知机的神经网络算法，可自动设置神经元个数。-in VC achieve perceptron neural network algorithm that can automatically set neuron number.
Adaline_lms
- 通过试验了解Adaline的工作原理。与采用硬限幅函数的单个神经元模型进行对比，比较异同-test Adaline understand the principle. Using hardware limiting function of a single neuron model compared to compare similarities
nervecellmodel
- 这是神经元模型的C语言代码。神经元模型在控制等有着极为重要的应用。-This is the neuron model C language code. Neurons in the control model has a very important application.
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
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
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
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
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.)