numberRecognition

利用该代码可进行非线性光学材料的闭孔Z扫描曲线拟合，给出材料的三阶非线性光学极化率(theoretical to closed aperture Z scan)

matlab模型大全，金融统计/统计专业必备材料，包括非常完整的讲解及例题，如回归分析及各类参数分析等。(matlab model Guinness, financial statistics/statistical expertise necessary materials, including a very complete explanation and examples, such as regression analysis and analysis of various parameters.)

详细功能为图像加入噪声、包含内容有图像加入噪声的函数，图像加入噪声程序及例子(Detailed functions of adding noise to an image contains image adding noise function, image by adding noise procedures and examples)

matlab 时频分析上面程序第八章的故障诊断的小程序(time-frequency analysis matlab above procedures of Chapter VIII of the small fault diagnosis procedure)

一个基于matlab实现的模式识别工具箱，希望给大家带来用处。(Implementation of a pattern recognition based on matlab toolbox, we hope to bring useful.)

说明：  matlab基于小波变换，进行图像多尺度分析，提取各尺度下的图像信息。 (Based on wavelet transform for image multi-scale analysis to extract the scale of the image information.)

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.)

说明：  基于协同优化算法的多目标轧制规程优化设计(Optimize the design of rolling schedule based on the multi-objective collaborative optimization )

采用zedboard、zynq等在matlab的平台上进行硬件协仿真的，文章介绍Getting Started with HW，环境的搭建和调试方式。(Using zedboard, zynq etc. on matlab platform for hardware co-simulation, the article describes the Getting Started with HW, build and debug mode environment.)

对普通 RJMCMC算法提出了改进算法，并由MATLAB实现。(Ordinary RJMCMC algorithm proposed an improved algorithm, MATLAB realization by.)