搜索资源列表
Classify.rar
- 感知器学习与分类的6个小程序，附带详细讲解,Perceptron learning and classification procedures six small, fringe detail on
Perception-Approach
- 多类的感知器算法实现，可对多个模式进行判别-More of the perceptron algorithm, multiple patterns can distinguish
perceptron_char
- perceptron_char.m perceptron recognize the character
PerceptronRecognition
- 模式识别，感知器训练算法Matlab演示-Pattern recognition, perceptron training algorithm Matlab demo
Perceptron
- 模式识别线性判别函数,感知器算法分类.利用OpenGL绘图显示三维坐标-Linear discriminant function, pattern recognition, perceptron algorithm for classification. The use of OpenGL graphics display three-dimensional coordinates
ganzhiqi
- 这个程序也很不错哟，大家赶快来下载吧，是模式识别中的感知器算法-This procedure is also very good yo, we hurry to download it, is a pattern recognition algorithm for the perceptron
ANN_for-math-recognition
- 利用感知机（神经网络）的数字识别程序，包含训练数据learn.dat和测试数据test.dat.程序可识别1-9九个数字。此程序还可进行扩展，用于识别其他的数字和字母。-The use of Perceptron (neural network) the number of identification procedures, including training data learn.dat and test data test.dat. Program can recognize numbe
traning
- 用9*4範例訓練感知器類神經網路，使其可以辨識9*4的數字。-Example of training with a 9* 4 perceptron neural network, so that it can identify the number 9* 4.
zonghe
- 线性分类器设计：包括感知机算法，最小二乘法，线性SVM算法（模式识别作业）-Linear classifier design: including perceptron algorithm, least squares, linear SVM algorithm（ pattern recognition task）
ICISTongLiu
- This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong robust
Perceptron
- 线性分类器之感知器算法，将两种类型的二维数据实现线性分类-The linear classifier perceptron algorithm, the two types of 2 d data realize linear classification
Linear-classifier-design
- 对“data1.m”数据，分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
hucrf_code
- Hidden-Unit Conditional Random Fields 工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling 提出的huCRF-We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experim
neuron-perceptron
- 设计单一及多个神经元的感知器、BP神经网络。文件a1.m是一个神经元，a2.m是两个神经元，test36.m是bp神经网络。 -Design of single and multiple neuron perceptron, BP neural network. The file a1.m a neurons a2.m, two neurons the test36.m bp neural networks.
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
Perceptron-Algorithm
- 模式识别是对样本进行聚类，感知器算法是通过迭代计算修正权向量，使样本满足条件，从而实现分类。本程序对感知器算法进行了改进，当权向量不满足时，立即退出此轮计算，进入下一轮迭代，从而减少了计算次数。程序对代码有详细注释，对样本的个数和维数自动判别。-Pattern recognition, clustering samples, perception algorithm is iterative correction weight vector samples meet the conditions
classifier
- 多种分类器gui界面，包括支持向量机、贝叶斯分类器、感知机、神经网络等-Multiple classifier GUI interface, including support vector machines, Bayesian classifier, perceptron neural network
perceptron_
- 感知机 代码，源数据为五维，前四为输入数据，最后一列为分类-Perceptron code, the source data for the five-dimensional, the first four of the input data, the last one listed as Category
bp
- 基于误差反传的多层感知器——BP神经网络的数字图像所程序matlab实现-Based on the error back propagation Multilayer Perceptron- BP neural network matlab program to achieve the digital image
Perceptron
- 模式识别中的感知器判别准则，实现分类。Matlab源代码-Pattern Recognition Perceptron criterion and achieve classification. Matlab source code