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Description: 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!
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Size: 1098 |
Author: 张流云 |
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Description: 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
LVQ program accepts input consisting of vectors and calculates the LVQ
network weights. If a test set is specified, the winning neuron (class) for
each neuron is identified and the Euclidean distance between the pattern and
each neuron is reported. Output is directed to the screen.-LVQ learning vector algorithm This directory contains source co de implementing the Learning vector quantizat ion network. Source code may be found in LVQ.CPP . Sample training data is found in LVQ1.PAT. Sam ple test data is found in LVQTEST1.TST and LVQTE ST2.TST. The program accepts input LVQ consist ing of vectors and calculates the network we LVQ ights. If a test set is specified, the winning Neurology (class) for each of Neurology is id entified and the Euclidean distance between th e pattern and each of Neurology is reported. Output is directed to the screen.
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Size: 38398 |
Author: 张伟华 |
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Description: 单神经元PID控制的例子,用于伺服电机的调速-single neuron example PID control for the servo motor speed control
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Size: 1226 |
Author: wang |
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Description: 自适应PSD神经元控制,用于伺服电机的调速度,比单神经元有跟好的鲁帮性-adaptive neural control for the servo-motor speed, a single neuron with good Lu hand
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Size: 1345 |
Author: wang |
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Description: BP算法最新C源程序,
#include\"stdarg.h\"
#include\"stdio.h\"
#include\"stdlib.h\"
#include\"math.h\"
#include\"graphics.h\"
#include\"conio.h\"
#define IN 4 /*输入层的神经元个数*/
#define HID 13 /*隐含层的神经元个数*/
#define MOD 594 /*学习样本个数*/
#define OUT 1 /*输出层的神经元个数*/-BP algorithm latest C source, # include "stdarg.h" # include "stdio.h" # include "stdlib.h" # include "math.h" # include "graphics.h" # include "conio.h" # define IN 4 / * input layer neurons number * / # define HID 13 / * hidden layer neuron number * / # define MOD 594 / * Number of samples * / # define OUT 1 / * output layer neurons number * /
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Size: 2958 |
Author: 陈光华 |
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Description: 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)
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Size: 6666 |
Author: 周善人 |
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Description: 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
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Size: 10707 |
Author: WW |
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Description: 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.
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Size: 11016 |
Author: WW |
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Description: 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
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Size: 4945 |
Author: 开心 |
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Description: 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.
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Size: 1990 |
Author: 李天鸿 |
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Description: 通用神经元模型的java代码，自己编的，编的很辛苦的哦-GM neuron model code of java, their series, the series is very hard oh
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Size: 2297 |
Author: ithink |
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Description: 基于二次型性能指标的单神经元pid控制程序-based on quadratic performance indicators single neuron pid control procedures
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Size: 1119 |
Author: king |
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Description: 神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点
％中间层神经元的传递函数为 tansig
％输出层有8个节点，其神经元传递函数为logsig
％训练函数采用traingdx-neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle layer neurons in the transfer function for the output layer tansig% have eight nodes, its neuron transfer function for the training function logsig% used traingdx
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Size: 873 |
Author: 陈胜 |
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Description: matlab 中的neuron network的classifier更新，名为elm（extrem learning machine）-Matlab of the classifier Neurology network update called elm (EXTREM learning machine)
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Size: 2306 |
Author: newuser |
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Description: 网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry samples such as 1,0,0,0,0,1, the output of a network, the output is 0.
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Size: 10685 |
Author: 尹明 |
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Description: 基于二次型性能指标的单神经元pid控制程序，用matlab实现，调试已通过。-based on quadratic performance indicators single neuron pid control procedures, using Matlab realized, Debugging has passed.
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Size: 1085 |
Author: qiangwen |
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Description: 用BP网络完成函数的逼近。BP网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。-network to be completed by BP function approximation. BP networks usually have one or more hidden layer, hidden layer neurons are used sigmoid-type transformation function, The output layer neurons using pure linear transformation function. The application of a two-tier cases BP network function approximation to complete the task, hidden layer neuron number is 5.
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Size: 942 |
Author: 张大坤 |
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Description: TheLVQ program accepts input consisting of vectors and calculates the LVQnetwork weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern andeach neuron is reported. Output is directed to the screen.-TheLVQ program accepts input consisting o f vectors and calculates the weight LVQnetwork s. If a test set is specified, the winning neuron disorder (class) for each neuron disorder is id entified and the Euclidean distance between th e pattern andeach neuron disorder is reported. Output is directed to the screen.
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Size: 8352 |
Author: 天缘 |
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Description: Neurons in the visual cortex develop receptive fields that are sensitive to oriented features in the visual environment. However, exactly how these features develop in a self-organizing way, and how the brain learns to recognize what orientation is represented by a particular neuron, is not clearly understood.
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Size: 656384 |
Author: sacoura
|
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Description: 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.)
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Size: 1024 |
Author: gangan09 |
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