搜索资源列表
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
classify
- 用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面。-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the pro
ganzhiqi
- 感知器算法(主要用于PR),也可以用于图像处理等方面-the PR using or the image procceing
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
matlab
- 模式识别中的线性分类器的设计，包括感知机，最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
svm-ses
- 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 machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
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
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
CT-tracking
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP co
Linear-discriminant-analysis
- Fisher 线性判别分析算法matlab实现及感知器算法实现-Fisher linear discrimination analysis，perceptron
LMSEPPerceptron-Approach
- 使用C和Matlab编程实现感知器算法和最小平方误差算法，并且区分给定的10000个样本-C and Matlab programming Perceptron algorithm and least square error algorithm, and to distinguish between a given sample 10000
CT_code_matlab
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类-Real-time Compressive Tracking proposed by Kaihua Zhang in The Hong Kong Polytechnic University
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))
rcnwjd68
- 经典的B-P算法,还包括其它一些程序,比如一个前馈多层感知器算法()