资源列表
ID3
- 人工智能，ID3算法，c语言实现可以通过样例的训练生成实现决策树进行决策 -Artificial intelligence, ID3 algorithm, C language can be achieved through the example of the training decision tree decision making
discrete-ABC
- 人工蜂群算法，模拟蜂群寻蜜的过程可以实现最优化-Artificial bee colony algorithm to simulate the process of honey bee colony optimization can be achieved
analytic-hierarchy-process
- 层次分析法，对于多传感器的最后判决问题，给予一定的分析与取舍问题。-Analytic hierarchy process (AHP), for the final decision of multiple sensors, to give a certain analysis and choice.
gradientDescent
- 机器学习中用于求解代价函数最小值的梯度下降算法-Machine Learning for solving the minimum cost function gradient descent algorithm
bp_fxxbj
- 采用bp神经网络对非线性函数的拟合：2输入1输出的非线性函数拟合，不适应matlab自带的函数功能。-Bp neural network using nonlinear fitting function: two inputs and one output nonlinear function fitting, suited matlab comes Function.
ANN-master
- 使用BP算法实现了一个隐层的人工神经网络（ANN），是学习BP算法的一个很好的参考-implement an Artificial Neural Network(ANN) with one hide layer,using bp algorithm,a good reference to the study of bp algorithm
Gaussian-Kernal-Classification
- Gaussian Kernal Classification svmtrain(sd,Y, Kernel_Function , rbf , rbf_sigma ,0.6, method , SMO , showplot ,true)
SVM-NonLinear-classification
- Two Dimension quadratic-SVM Problem, Two Class and Separable Situation-A Tutorial on Support Vector Machines for Pattern Recognition
svm-Linear-classification
- A Tutorial on Support Vector Machines for Pattern Recognition-Two Dimension Linear-SVM Problem, Two Class and Separable Situation
an-easy-example-of-SVM
- an easy example of SVM for learning in matlab circumstance-an easy example of SVM for learning in matlab circumstance
NLP-speech-tagging
- 基于隐马尔可夫模型的中文分词、词性标注、命名实体识别-Based on Chinese word hidden Markov model, speech tagging, named entity recognition
classify-text-master
- 文本分类，分类材料为20newsgroup-Text classification, classified material 20newsgroup