搜索资源列表
nonlinear-systems
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network modeling of nonlinear systems- non-linear function fitting
Genetic-algorithm
- 本程序使用遗传算法优化BP神经网络来进行非线性函数拟合-This program uses genetic algorithms to optimize the BP neural network for nonlinear function fitting
Non-linear-function-fitting
- 非线性函数拟合——利用遗传算法来优化BP神经网络，利用神经网络开发包实现图形化的神经网络模拟，使得神经网络原理更直观，可用于教学，也可用于实际神经网络训练，内附详细帮助文件。-Non-linear function fitting- using genetic algorithms to optimize the BP neural network, neural network development package to implement graphical neural network
1
- 2BP神经网络的非线性系统建模-非线性函数拟合-bp neural networing
BPnh
- BP神经网络的非线性系统建模-非线性函数拟合 保证可用-BP neural network modeling of nonlinear system with nonlinear fitting function can be guaranteed
BP1
- 案例2 BP神经网络的非线性系统建模-非线性函数拟合-The BP neural network of nonlinear system modeling-nonlinear function fitting
feixianxinghanshu
- 这是一个关于BP神经网络的非线性系统建模-非线性函数拟合-This is a nonlinear system modeling on BP neural network- a nonlinear function fitting
chapter3
- 运用遗传算法优化BP神经网络，应用于非线性函数拟合-Optimize the BP neural network, the use of genetic algorithms applied to nonlinear function fitting
chapter2bp
- BP神经网络的非线性系统建模，非线性函数拟合-BP neural network nonlinear system modeling, nonlinear function fitting
64318
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network nonlinear system modeling- nonlinear function fitting
ZCXLJ
- 支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be used for non-linear regression f
BP_matlab
- Bp神经网络的非线性函数拟合，用于对非线性函数的拟合。-Bp neural network nonlinear function fitting
BP-feixianxingnihe
- bp神经网络实现非线性函数的拟合，拟合精度高，可以很好地根据离散点模拟连续函数-bp neural network nonlinear function fitting, fitting high precision, continuous function can be well simulated based on discrete points
chapter2
- BP神经网络关于非线性函数拟合的问题，表述了如何写其代码-BP neural network on non-linear function fitting problems, a presentation on how to write their code
chapter2
- BP神经网络的非线性系统建模——非线性函数拟合-Nonlinear system modeling BP neural network- non-linear function fitting
BPreg
- 用BP神经网络实现二参数非线性函数拟合，使用了两种改进方法，且有图形对比。-BP neural network with two parameters of nonlinear function approximation, using two improved methods, and there is a graphical comparison.
GA_BP
- 用遗传算法优化BP神经网络进行非线性函数拟合，程序中还编写出了单纯BP的预测函数，以及BP和GA_BP的预测误差输出程序。-using genetic algorithms optimizated BP neural network，he program has also prepared a simple BP s prediction function, as well as BP and GA_BP prediction error output of the program.
nolinear
- bp神经网络的非线性系统建模————非线性函数拟合-nonlinear system modeling bp neural network nonlinear function fitting
BP_forecast
- 利用BP神经网络对非线性函数拟合，从而进行预测-BP neural network nonlinear function fitting and thus to predict
ann2w
- matlab的BP神经网络的非线性函数拟合代码-nonlinear function of BP neural network matlab fitting Code