Morphological-Study-o

籽子群优化算法优化BP神经网络，使用优化后的神经网络对图像进行分割。包括：籽子群优化算法，籽子的编码，最优权值和阈值的后成，基于籽子群优化算法的神经网络的培训，图像的分割。(The BP neural network optimized by Particle Swarm Optimization　algorithm for image segmentation)

基于分形理论与NPW模型的针板电极沿面放电时电树枝物理现象的计算机模拟(Simulation of electrial treeing in a needle-plate configuration based on fractal theory and NPW model.)

Control devices and accessories for contactors

c est un ensemble de code du Matlab pour une segmentation de tous types d images avec différents outils

In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved.

the source code for bicubic and cubic spline image analysis. This is done in the Matlab. It can process the image and make it clear

运用数字信号学基本原理实现语音信号的处理，在matlab7.0环境下综合运用信号提取，幅频变换以及傅里叶变换、滤波等技术来进行语音信号处理。(Learn the basic principles of the use of digital signal processing to achieve the speech signal in the integrated use of signal extraction matlab7.0 environment, amplitude-frequency transform and Fourier transform, filtering and other techniques for speech signal processing.)

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

用来进行支持向量机数据分类和特征提取。可用于机械故障诊断领域(Used for support vector machine classification and feature extraction. Can be used in the field of mechanical fault diagnosis )

analogue model of boost convertor, for high volatge regulation