ACO

Gaussian belief propagation code in matlab.

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

image processing: image_compression

总体平均经验模态分解适合于分析非线性、非平稳信号序列，具有很高的信噪比。(The overall average empirical mode decomposition process)

对平面波通过结构的仿真，有TE模和TM模两种模式(Plane wave through the structure of the simulation, the TE mode and TM mode in two modes)

针对电力系统中风电和光伏出力以及负荷不确定性问题，该程序通过拉丁超立方抽样和样本削减将其转化为场景分析问题。(For stroke power and photovoltaic power system output and load uncertainty, the program by Latin Hypercube Sampling and sample reduction to convert it into a scene analysis of the problem.)

传感器网络探测声信号通过特征提取进行目标设别分类(Sensor network to detect acoustic signals through the feature extraction for target-based classification of other)

numerical analysis book using matlab

模糊层次分析法，应用于数学建模中的各种评价问题和综合评价类问题(Fuzzy AHP, used mathematical modeling in a variety of evaluation and comprehensive evaluation class of problems)

it is based on matlab software