apriori算法是数据挖据中的经典关联规则挖掘算法，是由aggwal最早提出来的...

书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件-Books

粒子群寻优算法源程序，采用VC+=编写， 比较好用。-Particle

c 神经网络遗传算法-c neural network genetic algorithm

新的神经网络算法源程序，很适合初学者，也可以在上面进行改进！-New neural network algorithm source code, it is suitable for beginners, you can make improvements in the above!

he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,

RBFMIP is a package for training multi-instance RBF neural networks

模拟退火算法实验，使用MATLAB实现。-The simulated annealing algorithm, using MATLAB experiment.

专业介绍svm算法的书籍，适合有高等数学，线性代数，矩阵论，和数里统计基础的读者，他是一本全面介绍svm的书籍，从数学基础到应用，是svm学习者的一本好书。-Introduction SVM algorithm professional books, suitable for advanced mathematics, linear algebra,矩阵论, and several readers in the statistical basis, he is a comprehensive introduction to SVM books, from mathematical foundations to applications, is an SVM learner Good Books.

中科院的《高级人工智能》课件，希望对大家学习有帮助。-Chinese Academy of Sciences