资源列表
CD6712
- Breast cancer diagnosis
Breast cancer
- diagnosis from images
Segmentation
- Breast cancer segmentation
Classification
- Breast cancer diagnsis
Construct2D_2.1.3
- 翼型计算的2D网格生成代码，学习和研究抛物和椭圆型网格生成算法(2D grid generation for computational fluid dynamics.Hyperbolic and elliptic grid generation available)
Der1BasisFun
- matlab程序，可求解任意次B样条基函数及其一阶导(Solving the basic function of arbitrary order B spline and its first order)
NOISE ADDING
- SCOOR CALCULATION FOR SIGNAL PROCESSING
function matlab codes
- optimisation testes function
conv to eps
- this program 'ImageToEps' is intended for the conversion of png images into eps image. very useful for scientific copywriters.
DensityClust [Matlab 1.2]
- Cluster analysis is used in many disciplines to group objects according to a defined measure of distance. Numerous algorithms exist, some based on the analysis of the local density of data points, and others on predefined probability distributions. R
333
- 牛顿法是一种在实数域和复数域上近似求解方程的方法。方法使用函数f (x)的泰勒级数的前面几项来寻找方程f (x) = 0的根。牛顿法最大的特点就在于它的收敛速度很快。(The Newton method is a method to approximate the equation in the real and complex domain. The method uses the first few of the Taylor series of the function f (x) to
PSO
- 梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commo