资源列表
MachineLearning-master
- 多种机器学习方法的实现。很不错的，新手必备-machine learning
sunfish chess engine
- Sunfish is a simple but strong chess engine.
MachineLearning-master
- 一些常见的机器学习算法的实现代码。包括PCA、kNN、logistic regression、ManifoldLearning、SVM、GMM等-Some common machine learning algorithm implementation code. Including PCA, kNN, logistic regression, ManifoldLearning, SVM, GMM, etc.
AOI_algorithm
- AOI（面向属性的归纳）是数据分析中有效的数据约简手段，该算法可以实现对属性的消减和泛化。-AOI (attribute-oriented induction) is a data analysis and effective means of data reduction, The algorithm can achieve the right attributes abatement and generalization.
machine-learning_key_andrew-NG
- 机器学习的核心概念，由著名的专家Andrew NG编写，适合初学者学习。-machine learning key points by Andrew NG，which is the notes of the machine learning lecture.
introduction_to_genetic_algorithms
- Introduction to Genetic Algorithms - Genetic Algorithms
ant-colony-reference-pdf
- 这几个pdf文档是有关蚁群算法的，对学习蚁群算法的人很有帮助-Pdf document is related to these ant colony algorithm, ant colony algorithm for learning were very helpful
ABC
- 标准人工蜂群算法详细代码，含20个基准函数(The standard artificial bee colony algorithm contains 20 benchmark functions)
ant-colony-algorithm
- 针对车辆的越野路径规划问题,设计了以最少行驶时间为目标的多策略蚁群算法.首先,分析了地形坡度和地表属性对于车辆路径规划的综合影响,通过叠加坡度与粗糙度约束建立了禁忌表 其次,一方面引入了自适应调整策略以提高路径搜索的有效性,另一方面设计了双向搜索策略以增加蚂蚁之间的协作能力和成功路径的搜索机率 另外,还提出了子路径多段交叉策略以提高算法的全局搜索能力和收敛速度,在详细叙述改进算法的步骤之后,优化了算法的部分参数取值 最后,就基本算法和改进算法的性能指标、收敛代数和仿真结果进行了比较与分析.实验结
ClusterFromBDB_v2
- K-means clustering using Berkeley DB
7
- 基于dpca的程序，应用于故障检测与故障诊断,还有故障识别，效果很好，对象为csth-Dpca based on the program, used in the fault detection and fault diagnosis, and fault recognition, the effect is very good, for CSTH object
ILCmultiagent
- 固定拓扑结构的多智能体系统,具有初始误差修正的ILC控制-multi-agent system distribute finite-time consensus iterative learning control