资源列表
Compet7
- 此程序解决了人工神经网络变量的筛选问题，精确地选出适合的变量-This procedure of artificial neural network to solve the screening problem of variable
datapv
- 此程序解决人工神经网络的筛选，能精确地选出合适的变量-This resolves the artificial neural network screening, can accurately select the appropriate variable
feedb
- 此程序解决人工神经网络的筛选，能精确地选出合适的变量-This resolves the artificial neural network screening, can accurately select the appropriate variable
fmap2
- 此程序解决人工神经网络的筛选，能精确地选出合适的变量-This resolves the artificial neural network screening, can accurately select the appropriate variable
percep1
- 此程序解决人工神经网络的筛选，能精确地选出合适的变量-This resolves the artificial neural network screening, can accurately select the appropriate variable
percep2
- 此程序解决人工神经网络的筛选，能精确地选出合适的变量-This resolves the artificial neural network screening, can accurately select the appropriate variable
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
bp
- 人工神经网络（ArtificialNeuralNetworks，简写为ANNs）也简称为神经网络（NNs）或称作连接模型（ConnectionistModel），它是一种模范动物神经网络行为特征，进行分布式并行信息处理的算法数学模型。这种网络依靠系统的复杂程度，通过调整内部大量节点之间相互连接的关系，从而达到处理信息的目的。-Artificial neural network (ArtificialNeuralNetworks, abbreviated as ANNs) are also ref
matlab-BPnet-tools-
- 介绍matlab中神经网络工具箱的PDF说明书-Introduced in matlab neural network toolbox of PDF manuals
Normal
- Rapid program without interruption for ABB robot
mean-shift
- Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束.-Mean Shift concept
intelligent-algorithm1-5
- matlab 智能算法30个案例分析1-5例的代码-intelligent algorithm matlab analysis of 30 cases, 1-5 cases of code