FDXD-CPML

说明：  Python数据预处理示例，包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)

隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)

FIR Filter Design This chapter treats the design of linear-pha()

MonteCarlo仿真的C++源码,具有参考价值(C source code of MonteCarlo simulation, which has reference value)

生成随机数的算法,原书带的并不能直接使用,这是本人改的直接可用的()

三次样条插值的C语言算法,但是总是数据溢出()

Matrix QR decomposition of digital analysis of the more difficult procedures, it is worth a look

说明：  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

二进制粒子群优化算法pso,主程序：swarmpso m 它包括以下子程序： 1 　初始化：swarminit m 2 　适应值计算函()

Numerical Recipes Software 提供的算法子程序集,一共有上千种算法,部分算法可以在书店买到书()