资源列表
2
- Hopfield神经网络在matlab实例(Hopfield neural network)
KH_IH_3D
- 模拟材料非线性循环变形行为UMAT，可直接用于ABAQUS仿真计算(The nonlinear cyclic deformation behavior of the material is UMAT, which can be directly applied to ABAQUS simulation.)
mnist98
- 改进的dnn，准确率达到了百分之98，有注释(The accuracy of the improved DNN is ninety-eight percent, with annotations)
jiefangcheng
- 使用高斯-赛德尔迭代法和雅克比迭代法求解线性方程组；使用高斯法和列主元法求解线性方程组。(Using the Gauss - Seidel iterative method, Jacobi iterative method for solving linear equations and using Gauss method and column principal component method to solve linear equations.)
pyDogVsCat
- 识别率85%，kaggle上有名的猫狗大战算法，可以很方便的查看分类结果。每一个epch需要22s左右（GTX1050Ti 4G）(The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G))
GMMs
- function对数据EM算法进行fit，并对产生的高斯混合模型的最大似然估计进行绘图。输出结构体obj，带有高斯混合模型的参数mu，sigma。(Function carries out fit for data EM algorithm, and draws the maximum likelihood estimation of the Gauss mixture model. The output structure is obj, with the parameter mu and s
FLC4EV_MM(1)
- In automobiles, a start-stop system or stop-start system automatically shuts down and restarts the internal combustion engine to reduce the amount of time the engine spends idling, thereb
MATLAB算法练习
- 某三层钢筋混泥土结构弹塑性时程分析程序。结构恢复力模型采用三线型刚度退化模型。(time history analysis)
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans