资源列表
a
- 传教士与野人（递归算法）人工智能领域的入门问题-Missionaries and Savage (recursive algorithm) the entry of the field of artificial intelligence problem
code
- This course describes the AI techniques necessary for an agent to act intelligently in the ``real world. Techniques include natural language processing, uncertainty reasoning, learning, vision and speech processing. Basic AI techniques (such as searc
abbr
- 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测-This procedure is based on chaos theory and ELMAN neural network short-term load forecast
ccnn
- 混沌理论中重要的细胞神经网络的程序 混沌理论中重要的细胞神经网络的程序-Chaos theory chaos theory of cellular neural network program cellular neural network program
NN-Example
- 用神经网络完成一个模式识别及其分类的问题，有详细的文字说明和Matlab代码-NN Example
Model-predictive-control
- 预测控制系统频应响应系统分析工具和专用绘图函数，予详细介绍，以一基于阶跃响应模型的控制器设计（动态矩阵控制方法）为例进行示范说明。-Model predictive control
wekaTolib
- 本函数实现了weka到libSVM数据格式的转换功能-The function implementation the weka to libSVM data format conversion function
libsvm
- svm入门介绍及libsvm的使用说明文档-the svm introduction and use of libsvm documentation
KNN
- 基于KNN的增量学习算法相关文档，主要用于文本分类-KNN-based incremental learning algorithm related documentation, mainly for text classification
neural-network
- 基于神经网络的增量学习算法的相关文献，主要用于文本分类-Literature incremental learning algorithms based on neural networks, mainly for text classification
bayes
- 基于贝叶斯的增量学习算法相关文档：包括朴素贝叶斯，网络贝叶斯等-Incremental learning algorithm based on Bayesian document: Naive Bayes, Bayesian and other network
genetic
- 这个是人工智能里的遗传算法，很好用很经典哦-This is a genetic algorithm in artificial intelligence, good with very classic Oh