搜索资源列表
bp-hidden
- 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
genetic-bp
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
m10_9
- 神经网络训练的matlab M文件仿真例子。这个例子里面可以看到训练后最终拟合曲线是很接近给定样本的。-Matlab M file of the neural network training simulation examples. This example, which can be seen the training after the final fitting curve is very close to a given sample.
neural-network
- 利用径向基函数神经网络，完成ECG信号的非线性拟合，进而提取出胎儿心电信号-Radial basis function neural network to complete the non-linear fitting of the ECG signal, and then extract the fetal ECG
BP-neural-network-
- 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
Genetic-algorithm-to-optimize-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
s1
- 1.掌握利用人工神经网络进行数据拟合的方法。 2掌握利用人工神经网络进行分类的方法。 -1 master data fitting method using artificial neural networks. 2 to master the use of artificial neural network to classify.
matlab
- BP神经网络进行一个函数拟合，此函数算是研究算法性能的常见的函数之一，图像非常有特点-BP neural network is a function fitting this function is regarded as one of the common functions of the studies the performance of the algorithm, the image is very characteristic,
Neural-Networks
- 神经网络，函数拟合，用于石油测井行业产能预测-Neural network function fitting for oil well logging industry capacity forecast
BP
- 遗传算法优化BP神经网络-非线性函数拟合 遗传算法典型事例-Genetic algorithm to optimize BP neural network- a non-linear function fitting the typical examples of the genetic algorithm
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
CNN
- 这个是一个神经网络预测股票的程序，总而言之，给力，准，能够很好的拟合规律曲线-this is a great progamme very beautiful useful good
BPalgorithm
- 本例中用c语言编写一个简单的BP神经网络，并用这个网络对正正弦函数SIN(X)在（0,1）段部分进行拟合，适合初学者。-This example uses a simple c language BP neural network, and uses this network is the sine function SIN (X) in (0,1) segment part of the fitting, suitable for beginners.
Extreme-nonlinear-function
- 神经网络训练拟合根据寻优函数的特点构建合适的BP神经网络,用非线性函数的输入输出数据训练BP神经网络,训练后的BP神经网络就可以预测函数输出。遗传算法极值寻优 把训练后的BP神经网络预测结果作为个体适应度值,通过选择、交叉和变异操作寻找函数的 全局最优值及对应输入值。 -Neural network training function fitting based optimization features built right on BP neural network, using
BP-1
- 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
BP-2
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
GABP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
BP_nihe
- 用matlab实现bp神经网络的曲线拟合，包含拟合效果和源代码-Bp neural network using matlab curve fitting, and the source code contains the fitting results
BP-fit
- 对于神经网络，可以用于非线性函数拟合，效果不错。-For the neural network can be used for non-linear function fitting, good results.
ANN-F
- 遗传算法优化BP神经网络-非线性函数拟合,将局部寻优与全局寻优相结合-Genetic algorithm to optimize BP neural network- non-linear function fitting, the local optimization combined with global optimization