这是目前网上所能找到的最全面的adaboost的C++算法，但是需要自己训练的数据...

matlab环境下，基于云模型的分类器，包括基于例子群优化的云分类器，和属性相似度云分类器。-Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.

有关RBF的参考文献，希望能够给你带来一定的帮助-RBF-related references, hoping to give you some help

随机规划解决随机优化问题，主要用到遗传算法，神经元网络。-stochastic programming problem solving stochastic optimization, use genetic algorithms, neural network.

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.

卡尔曼滤波模拟器

模拟退火c++的算法程序，广泛应用于最优化、运筹学、人工智能、遗传算法等领域，具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value

matlab编写的BP神经网络算法，的一个应用小程序-matlab prepared by BP neural network algorithm, a small process applications

用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition

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机器学习讲义机器学习很好的材料内容很全面-Machine Learning Machine Learning Materials Materials is very good all-round