资源列表
perceptronClustering
- fisher线性分类，多层感知器非线性分类，K-Means聚类-Fisher linear classification, multilayer perceptron linear classifiers, K-Means Clustering
SingleSensor
- matlab实现的单层感知器代码，用于实现逻辑“与”和逻辑“或”-matlab implementation of a single layer perceptron code for implementing the logical " AND" and the logical " or"
V3
- 奇异值分解提取特征值，运用概率神经网络分类雷达信号- U5947 u5F02 u503C u5206 u89E3 u63D0 u53D6 u7279 u5F81 u503C uFF0C u8FD0 u7528 u6982 u7387 u795E u7ECF u7F51 u7EDC u5206 u7C7B u96F7 u8FBE u4FE1 u53F7
chapter1
- 该代码为基于带动量项的BP神经网络语音识别具体用法源代码内注释很清楚- U8BE5 u4EE3 u7801 u4E3A u57FA u4E8E u5E26 u52A8 u91CF u9879 u7684BP u795E u7ECF u7F51 u7EDC u8BED u97F3 u8BC6 u522B u5177 u4F53 u7528 u6CD5 u6E90 u4EE3 u7801 u5185 u6CE8 u91CA u5F88
chapter2
- 该代码为基于双隐含层BP神经网络的预测,具体用法见源代码内注释。- U8BE5 u4EE3 u7801 u4E3A u57FA u4E8E u53CC u9690 u542B u5C42BP u795E u7ECF u7F51 u7EDC u7684 u9884 u6D4B, u5177 u4F53 u7528 u6CD5 u89C1 u6E90 u4EE3 u7801 u5185 u6CE8 u91CA u3002
chapter4
- 本算法是基于神经网络遗传算法函数极值寻优。具体用法见源代码内注释- U672C u7B97 u6CD5 u662F u57FA u4E8E u795E u7ECF u7F51 u7EDC u9057 u4F20 u7B97 u6CD5 u51FD u6570 u6781 u503C u5BFB u4F18 u3002 u5177 u4F53 u7528 u6CD5 u89C1 u6E90 u4EE3 u7801 u5185 u6CE
randomForest_4.6-10
- 转别人的随机森林做分类 回归的R语言程序代码.经过调试可以运行-Random forests for classification regression R language program code
RF---MATLAB
- 转别人编写的随机森林的MATLAB 源代码，用于分类与回归，程序可以-Others write random forests of MATLAB source code, is used for classification and regression, the program can
PSO_SVM
- 用粒子群改进支持向量机的智能算法，你可以拿来做预测分析，-Using particle swarm improvement intelligent algorithm of support vector machine (SVM), you can be used to do prediction
GABP
- 一个基于遗传算法改进神经网络算法的MATLAB的源代码，希望对你有用-An improved neural network algorithm based on the genetic algorithm MATLAB source code, hope useful to you
ML-Matlab
- 图解机器学习一书的示例MALIB源码，经MALIB2014a上确认可运行。-Illustration of the machine to learn a book example MALIB source code, confirmed by MALIB2014a can run.
LSVM
- 人体检测的完整工程（包含测试图片），利用目标检测算法SVM,准确率达到97 -Human detection complete works (including test images), the use of the target detection algorithm SVM, accuracy rate of 97