资源列表
新建文件夹 (2)
- 本程序是用python写的一个深度学习程序，该程序实现了卷积神经网络(This procedure is written in python with a deep learning program, the program achieved a convolution neural network)
plot_haxby_different_estimators
- 针对任务态fMRI数据，用不同的估计器来显示大脑的活跃体素。(Display the brain active voxel)
plot_decoding_tutorial
- 通过解码，来分析被试大脑中体素的变化，从而将大脑按不同任务进行分类。(By decoding, the changes in the body's voxels in the brain are analyzed and the brain is classified according to different tasks.)
bayes
- 基于贝叶斯理论的分类方法，过滤垃圾，从个人广告中获取区域倾向(Classification method based on Bayesian theory, Filter out rubbish, obtain the regional tendency from the personal advertisement)
程序
- 自己写论文用的小程序，数据是自己找的，用田纳西_伊斯曼化工过程的数据也可以(Write your own paper with a small program, the data is to find their own, with Tennessee _ Eastman Chemical process data can also be)
9、SVM方法
- svm分类器，训练svm的MATLAB代码，简单易理解，好用，能够有效的实现动能(SVM classifier, training SVM MATLAB code, simple and easy to understand, good use, can effectively implement the kinetic energy)
PSO程序
- ?本程序在matlab环境下，对粒子群编程，完成对两个变量函数的寻优(In this program, in the MATLAB environment, the particle swarm optimization is used to optimize the two variable functions.)
lrCostFunction
- 输入权值、学习率、输入和输出，就可以计算得到损失值和梯度值(Input weight, learning rate, input and output can be calculated for loss value and gradient value)
sign
- 数字信号处理matlab代码,用滤波器设计及相关的分析(Digital signal processing matlab code, filter design and related analysis)
dangdang
- 运用python正则表达式分析网页（图书信息）(Using regular expressions to analyze web pages (book information))
Iris_RandomForest
- python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)
Iris_Adaboost
- python鸢尾花（iris）数据分类程序例子，采用adaboost算法。(Python iris flower (IRIS) data classification program examples, using the AdaBoost algorithm.)