Fortran

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

一个matlab遗传算法的实例，教你怎样用matlab语言来解决遗传算法的编程问题(A matlab genetic algorithm instance, teach you how to use the genetic algorithm to solve programming problems matlab language)

MATLAB7_0 基础教程_ 清华大学出版社(a remarkable study book for matlab)

duobinary conversion for agiven input symbols

matlab程序的一些算法，需要的同学可以直接引用(Matlab procedures some algorithm, the needy students can directly apply)

运用matlab实习动态规划中的逆序算法的例题及matlab程序，对程序也有很详细的解析说明(To use matlab internship Reverse Algorithm of dynamic programming examples and matlab program, the program is also detailed analysis)

CMMB中的RS(240,224)编码及字节交织的matlab仿真,(CMMB RS(240,224) encoding and interleaving Matlab simulation)

An Matlab implementation neural program

输入一组振动数据，灰色预测算法会预测其后的振动趋势(input vibration data,and this algorithm will predict the vibration trend)

是蛋白质二级结构优化（基于2维度非晶格模型）的优化代码，可直接运行，算法书写简单，高中生都能看懂。唯独一点，必须引用我们的两篇论文，否则算侵犯版权。( description : A self-organized matlab m file for protein structure optimization using 2D off-lattice model and ABC algorithm. Users MUST cite the following two articles if the codes are implemented in their studies (1) Li, B., Li, Y., & Gong, L. (2014). Protein secondary structure optimization using an improved artificial bee colony algorithm based on AB off-lattice model. Engineering Applications of Artificial Intelligence, 27, 70-79. (2) Li, B., Gong, L., & Yao, Y. (2013, October). On the performance of internal feedback artificial bee colony algorithm (IF-ABC) for protein secondary structure prediction. In Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on (pp. 33-38). IEEE.)