资源列表
lstm-master
- matlab,recurrent neural network
DeepLearning
- 包含神经网络、卷积神经网络、深度信念网络等深度学习程序，该程序可以用于语音识别、分类等处。(Deep learning programs including neural network, convolutional neural network and deep belief network can be used for speech recognition, classification and so on.)
bayes
- 基于概率论的分类方法 :朴素贝叶斯 学习朴素贝叶斯算法进行简单的二值分类(Classification method based on probability theory: Naive Bayes Learning naive Bayes algorithm for simple two valued classification)
k-means
- 实现k-means聚类算法，里面有数据可以作为测试(This file is use to achieve k-means clustering algorithm.There are data can be used as a test.)
PSO
- 经典粒子群算法，利用经典粒子群PSO算法进行寻优(Particle Swarm Optimization)
fcm
- 模糊聚类识别，用于模式识别，这个是从互联网下载的(Fuzzy clustering recognition, used for pattern recognition, this is downloaded from the Internet)
gairispro
- Artificial intelligence algorithm
min-char-rnn
- RNN 学习代码，没有借助框架，纯代码实现(This is a RNN demo tutorial, rely on no framework like TF, just write with basic python language)
PSO-BP
- 优化的BP神经网络，包括数据集，可以直接运行(BP neural network ,include the data)
ClassicalMachineLearning
- 几个经典算法的实现，例如决策树，支持向量机，还有单层感知机等(Several classical algorithms are implemented, such as decision tree, support vector machine, and single layer perceptron)
最基本的蚁群算法+2opt邻域搜索_求解TSP
- 蚁群算法，蚁群优化算法（ant colony optimization,ACO）就是一种特别成功的元启发式算法，在20年前诞生于意大利的一所最负盛名的大学——米兰理工大学。其灵感来源于真实蚂蚁的行为。(We list below 25 TSP instances taken from the World TSP. For these instances, the cost of travel between cities is specified by the Eulidean distance
关联规则aprioi算法
- 在满足最低支持度的条件下，从短频繁项集得到长频繁项集(Long frequent itemsets are obtained from short frequent itemsets under the condition of satisfying the minimum support)