资源列表
bp-Matlab
- 人工神经网络（Artificial Neural Network，即ANN ），是20世纪80 年代以来人工智能领域兴起的研究热点。它从信息处理角度对人脑神经元网络进行抽象， 建立某种简单模型，按不同的连接方式组成不同的网络。神经网络的MATLAB实现(Artificial Neural Network (ANN) is a hot spot in the field of artificial intelligence since 1980s. It abstracts the neural
PSO
- 粒子群搜索算法的一个简单的仿真程序的编写。根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法。(A simple simulation program of particle swarm search algorithm. According to the principle of PSO algorithm, based on PSO algorithm, a function extreme optimization algorithm based on PSO a
FNN_EBP_MG
- 模糊神经网络 梯度算法 MG测试，效果很多，可以参考，进行修改(Fuzzy neural network second-order algorithm MG test)
myrbm2batch1epoch
- 通过解读RBM算法，利用代码理解RBM算法。(Through the interpretation of RBM algorithm, using code to understand RBM algorithm.)
测试代码
- BP neuron network 数值算法人工只能深度学习(To describe the Bp neuron network Iris recognization)
NeuralNetwork.py
- 该程序仅供学习使用，虽然内容很简单，但是实用。(Just for study.It's very simple, but useful.)
RNN
- RNN实现代码，用RNN实现简单加法，没用运用python里面的包(RNN code,RNN with simple addition, not by the use of Python inside the package)
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)