APA

这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ (This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which also gave the test data!)

matlab源代码，采用粒子群优化算法和支持向量回归机用于传感器建模，代码完整，欢迎下载。(matlab source code, using particle swarm optimization and support vector regression for sensor modeling, code integrity, welcome to download.)

混沌理论中很重要的拉亚普诺夫指数的，求解公式，例程可以直接打开运行(Chaos Theory in the very important layar普诺夫index, solving formula, routines can directly open the run)

计算mahalanobis（即马氏）距离(Calculated mahalanobis (ie Markov) distance)

这是一个小波变换的程序，滤去噪声实现语音增强(This is a wavelet transform procedures, filter out the noise to realize speech enhancement)

无限冲击响应滤波器 (IIR) 实现，涉及一个Butterworth低通滤波器，设计指标为：在通带内频率低于0.2π时，最大衰减小于1dB；在阻带内[0.3π, π]频率区间上，最小衰减要大于15dB (An infinite impulse response filter (IIR) implementation, involves a Butterworth low-pass filter design specifications as follows: in the passband frequencies below 0.2π, the maximum attenuation is less than 1dB in the stopband [0.3π, π] frequency interval , the minimum attenuation greater than 15dB )

matlab编程书籍与源代码，其中包括《matlab菜鸟编程》和《matlab介绍》。(matlab material)

Application of Conservative Power Theory for Active Power Filtering of Line-Commutated HVDC for Offhsore Wind Power

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

fisher例子程序必看fisher例子程序必看fisher例子程序必看(Examples of programs fisher must-see examples of programs fisher must-see examples of procedures for must-see fisher)