kepler_orbit

简单的粒子群算法，matlabR2010b测试可以使用，对于初学者是很好的程序(Simple particle swarm optimization algorithm, the matlabR2010b test can be used, for beginners is a very good program.)

说明：  matlab7.0、VB、VC++、JAVA混合编程(matlab7.0, VB, VC++, JAVA hybrid programming)

uma funcao que faz a simples deslocar vetor

以优化SVM算法的参数c和g为例，对GWO算法MATLAB源码进行了逐行中文注解。 是很好的学习材料。(SVM algorithm to optimize the parameters c and g, for example, for GWO algorithm MATLAB source was progressive Chinese annotations. It is a good learning materials.)

ch3_1_1：嵌套使用图像代数函数 ch3_1_2：两幅图像相加 ch3_1_3：图像与常数相加 ch3_1_4：两幅图像相减 ch3_1_5：两幅图像相乘 ch3_1_6：图像除以常数[两幅图像相除ch3_2_1：图像缩放 ch3_2_2：图像旋转 ch3_2_3：图像剪切 ch3_2_4：生成和应用仿射变换 ch3_2_5：findbounds函数的应用 ch3_2_6：makeresampler函数的应用ch3_2_7：投影变换 ch3_3_1：计算图像的局部标准差 ch3_3_2：计算输入图像的3×3邻域像素值的最大值（§3.3.2） 根据指定的坐标选择一个六边形区域 按灰度分割图像中的目标 函数poly2mask的调用格式 对指定区域进行锐化滤波 填充指定的区域 (ch3_1_1: nested function using the image algebra ch3_1_2: the sum of two images ch3_1_3: Image and constant sum ch3_1_4: subtract two images ch3_1_5: two images multiplied ch3_1_6: image divided by the constant [two images division] ch3_2_1: image scaling ch3_2_2: Image Rotation ch3_2_3: image shear ch3_2_4: Generation and application of affine transformation ch3_2_5: findbounds function application ch3_2_6: makeresampler function application ch3_2_7: projection transformation ch3_3_1: Calculation of the local standard deviation image ch3_3_2: Calculation of the input image 3 × 3 neighborhood of the maximum pixel value [§ 3.3.2] in accordance with the designated coordinates to select a hexagonal region segmentation by gray-scale image of the objective function calls poly2mask format designated area sharpening filter to fill the designated regional)

说明：  基于粗糙集属性约简的算法，不错，可以看看(Rough set attribute reduction algorithm, a good)

newer version of bearing faults

二维变分模态分解可于图象处理等，最新的自适应分解方法(2D Variational Mode Decomposition，WHICH CAN BE USED FOR IMAGE )

A Neural Network Autoassociator for Induction Motor Failure Prediction

Algorithms for the extraction of the extrema of a signal