搜索资源列表
SLEP_package_4.1
- SLEP稀疏正则化工具包；稀疏表示的文献和对应的一个程序包。文献已经放在里面叫manual，希望对大家有帮助(SLEP sparse regularization Toolkit; sparse representation of literature and corresponding package. The document has been put in it called manual, and I hope it will help everyone.)
RegularizationMatlab(4)
- 正则化反演的程序，可用于地球物理专业数值反演(Regularization inversion program)
Chapter04
- 基于tensorflow 的神经网络的损失函数，学习率，正则化，滑动平均等方法(Method of loss function, learning rate, regularization and sliding average of neural network based on tensorflow)
vel_Tikhonov
- tikhonov求解，正则化参数为0.1，应用svd分解，求解病态矩阵的解。(Tikhonov solution, regularization parameter is 0.1, using SVD decomposition to solve the ill-conditioned matrix solution.)
超限学习机理论讲解及编程实现
- 该方法随机给定神经元权值中的输入权值和阈值，然后通过正则化原则计算输出权值，神经网络依然能逼近任意连续系统。(The method gives the input weights and thresholds of neuron weights randomly, and then calculates the output weights by regularization principle. The neural network can still approximate any cont
GA-LSSVM.m
- 遗传算法优化最小二乘支持向量机的核函数参数和正则化参数(Optimization of Kernel Function and Regularization Parameters of Least Square Support Vector Machine by Genetic Algorithms)
奇异值系统
- 不适定问题正则化方法中的奇异值系统第一类积分算子求解(The first kind of integral operators for singular value system in regularization of ill posed problems)
Matlab-RegularizationTools
- Matlab程序包解决病态的正则化反演问题(A Matlab Package for Analysis and Solution of Discrete Ill-Posed Problems)