搜索资源列表
PerceptronRecognition
- 模式识别，感知器训练算法Matlab演示-Pattern recognition, perceptron training algorithm Matlab demo
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.
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
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))