搜索资源列表
data-fitting
- 运用最小二乘法对数据进行拟合,内容包括1. 1.运用matlab自带的程序对最小二乘法数据拟合 2.自己编程对最小二乘法数据拟合3.对非线性曲线拟合4.运用神经网络对实验数据进行拟合 -Using least squares fit of the data, including 1.1. Using matlab own procedures for least squares data fitting 2. Their own programming on the method of le
qunbun_v12
- 包括最小二乘法、SVM、神经网络、1_k近邻法,利用matlab GUI实现的串口编程例子,有详细的注释。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Use serial programming examples matlab GUI implementation, There are detailed notes.
kaofing_V4.7
- 用于特征降维,特征融合,相关分析等,利用matlab GUI实现的串口编程例子,包括最小二乘法、SVM、神经网络、1_k近邻法。- For feature reduction, feature fusion, correlation analysis, Use serial programming examples matlab GUI implementation, Including the least squares method, the SVM, neural networks, 1
程序代码
- 用C语言编程实现神经网络的构建和训练的程序代码 以及matlab编程实现偏最小二乘法(Programming and training program code in C language;Matlab programming for partial least square method)
bp
- c++编程bp神经网络,用c++语言编写的bp神经网络(C++ programming bp neural network, bp neural network written in c++ language.)