搜索资源列表
PerceptionApproach
- 模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写。-the classic pattern recognition algorithm, perception algorithm, the model used for classification, prepared using Matlab.
TP_MLP
- 一个用MATLAB实现的多层感知器-a MATLAB the multilayer perceptron.
ganzhi
- 感知器算法的matlab实现，欢迎大家指点-Perceptron Algorithm Implementation of Matlab, we welcome guidance
pereceptron
- 感知器算法分类器，感知器是一种双层神经网络模型，一层为输入层，另一层具有计算单元，可以通过监督学习建立模式判别的能力-Perceptron Algorithm classifier, perceptron neural network model is a double layer of input layer, another layer with a calculation unit, you can determine by monitoring the ability of learni
ganzhiqi_newp
- 使用matlab 感知器工具箱函数newp编写单层感知器文件，模式识别作业-Use the matlab perception toolbox function newp the preparation of single-layer perceptron file, pattern recognition operations
Perceptron-Approach-with-matlab-
- 用matlab软件编写感知器算法，实现对样本的分类，样本点为X1(0，0)，X2(0，-1)，X3(-1，0)，X4(-1，-1) -Perceptron Approach with matlab
matlab
- 本代码是针对于感知器算法应用于肾炎诊断上面的小程序，可以对患者身体内的元素进行判断，进而确定患病患者编号。-This code is targeted at Perceptron algorithm is applied to the above applet nephritis diagnosis, the patient can determine the elements within the body, and to determine the prevalence of patient
matlab
- 题目:设计二分类数据集合，满足 1 线性可分 2 线性可分但是有离群点 3 线性不可分 将利用神经网络感知器来进行操作. -Title: design binary classification data collection, meet 1 linear separable Two linear separable but there are outliers Three linear inseparable Will use the perceptron neur
perweptron-MATLAB
- 一个用MATLAB实现的多层感知器 MATLAB multilayer perceptron-A multilayer perceptron MATLAB MATLAB multilayer perceptron
matlab_ANN_MLP
- matlab程序，使用神经网络估算信号频率，附训练及测试数据(The matlab program uses neural networks to estimate the frequency of signals, along with training and test data)
固定增量法求分界面
- 固定增量法求分界面 (利用感知器训练算法中的固定增量法求分界面，将样本集分为两 类)，附带整个分类过程及原理(The fixed increment method calculates the interface (using the fixed increment method in the perceptron training algorithm for the interface, and divides the sample set into two Class))
线性分类器
- 该程序能够实现对于一个样本完成感知机，最小二乘法，凸优化方法解决SVM和matlab自带函数解决SVM的四种程序，并且通过修改部分参数可以完成不同效果。(The program can be achieved for a complete sample perceptron, least squares method, convex optimization method to solve SVM and MATLAB with four program function to solve th
homework2_2
- 实现批处理感知器算法的程序，用于分类训练集，同时记下收敛时的步数(Program to realize batch perceptron algorithm for classification of training set, and steps to write down the convergence)
function fitting
- Bp\感知器\SVM\RBF的神经网络函数拟合程序，其中大部分都是一维输入一维输出，特别适合刚入门的学习者。(These Program were BP\PERCEPTION\rbf\svm function fitting used matlab)
matlab脚本文件
- 输入两组变量即可进行系统优化迭代，选择最佳变量(The system optimization iterations can be carried out by the input of two groups of variables, and the optimal variables are selected)
Perceptron
- 用MATLAB实现简单的分类器分类，对线性的点进行简单的分类。(Using MATLAB to achieve a simple classifier,Simple classification of linear points)
Rosenblatt_Perceptron
- 用MATLAB实现一个简单的分类器，对线性的点进行简单的分类。(Using MATLAB to implement a simple classifier, a simple classification of linear points.)
code
- matlab单层神经网络实现与逻辑，感知器是一种最简单的神经网络，可以解决最简单分类问题。在本经验中，利用了MATLAB代码简单实现了一个单层神经网络的感知器，对“与”逻辑运算进行了训练和学习，以便我们深入地了解感知器的构造。(Implementation and logic of MATLAB single layer neural network)
MATLAB神经网络原理与实例精解
- MATLAB神经网络实例教程配套程序，包括感知器、BP神经网络等基本代码。(MATLAB neural network example tutorial matching program, including perceptron, BP neural network and other basic code.)
鸢尾花分类
- 使用四种方法进行鸢尾花分类：最小距离分类器，K 近邻法，感知器，Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)