搜索资源列表
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
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
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
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
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))