classical_new

说明：  详细介绍了用vc和matlab混合编程的开发应用过程，从入门开始直到学会(introduce the programming way of vc and matlab,let s us konw how to use them together you kan study it in detail step by step)

混沌分析工具箱，里面有很多有用的软件。希望对大家有帮助(Chaotic Analysis Toolbox)

comparative analysis of random forest with different feature selection algorithms.

电力市场中用于潮流追踪确定分摊费用的程序(Program for the electricity market trend tracking to determine the cost-sharing)

MATLAB中也同样有许多有意思的实例，为提高读者对MATLAB和Simulink的兴趣，特举部分以供参考。(MATLAB, there are also many interesting examples, in order to enhance the reader' s interest on MATLAB and Simulink, special give some for reference.)

HMM的范例程序，包含特征样本和产生训练数据的程序，注释详细，适合参考学习(HMM sample program, including feature samples and generator training data, detailed notes for reference study)

多种优化方法+多种线搜索方法，非常实用。转自github(A variety of optimization methods + multiple line search method)

说明：  经典的fast ICA程序，用于盲信号的分离,希望能够对大家有帮助！(classic fast ICA procedures for the Blind Signal Separation, we hope to be able to help!)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )

c# GUI+ 多种仪表盘，很难找的仪表盘，也很实用(c# GUI+ variety of dashboard, it is difficult to find the instrument panel, but also very practical)