搜索资源列表
neural-network-fit
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Learning from regression neural network fit- based on near-infrared spectroscopy to predict gasoline octane
BP
- BP神经网络的非线性拟合题目，随机生成2000组数据进行拟合-Nonlinear fitting problem of BP neural network, a randomly generated 2000 groups of data fitting
PSO-optimization
- 应用粒子群算法来寻找BP神经网络最优的初始权值还有阈值，本程序主要是以此来拟合函数，读者可以根据需要，小小地修改一下BP神经网络的代码，可以实现诸如模式识别等功能，收敛效果很好，-Application of particle swarm algorithm to find the optimal initial BP neural network weights as well as the threshold value, the procedure is a way to fit func
sample1
- bp神经网络主要用于大数据下的预测，但存在过拟合问题，是目前最常用的预测算法之一-bp neural network is mainly used to predict the next big data, but the presence of over-fitting problems, is one of the most commonly used prediction algorithm
sin
- 用MATLAB语言编程实现正弦函数和其他函数的拟合，其中用到神经网络的相关知识及其工具箱-The fitting of sine function with MATLAB language programming, including knowledge of neural network and its toolbox
nihe
- 基于BP神经网络多参数单目标的拟合曲线程序- Fitting curve
GNNM
- 灰色预测与BP神经网络系统结合程序源码，具有较高拟合度。用于预测-Grey prediction system of BP neural network combined with the program source code, with a high goodness of fit. Used to predict
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.
pca-bp
- 在建模前先将数据利用PCA进行降维，将降维后的数据作为BP神经网络的输入因子，对数据进行拟合。-Before the first data modeling use PCA dimensionality reduction, the reduced dimensionality of the data as the input factor BP neural network, the data fitting.
qxnh
- 以三角函数为例 采用BP神经网络对曲线进行了拟合 讨论在不同精度条件下的结果-In an example using BP neural network trigonometric curves were fitted to discuss the results under different conditions of precision
bp
- bp神经网络用于函数拟合，不用工具箱，源程序实现-BP Neural Network
xiaoboniheceshi-(2)
- 小波测试程序采用sinc函数验证小波神经网络的拟合能力-Wavelet test program
BP
- 在matlab中利用BP神经网络对曲线进行拟合，并以图形显示，通过图形可以观察比较曲线的拟合效果- BP neural network in matlab curve fitting, and graphically displays, graphics can be observed by comparing the
feixianxingnihe
- 在matlab软件中编程实现基于遗传算法优化BP神经网络非线性系统拟合算法-In the matlab software programming based on genetic algorithm to optimize the BP neural network nonlinear system fitting method
huiseBP
- 此代码为BP神经网络程序及灰色预测源代码，基于matlab编译环境，适用于各种BP神经网络的拟合及仿真预测，使用前请根据背景自行导入数据及调整神经节数-This code for the program and a pair of grey BP neural network prediction of source code, based on the MATLAB compiler environment, suitable for all kinds of BP neural networ
dl
- 有导师学习神经网络的回归拟合-基于近红外光谱的辛烷值预测-Learning regression neural network fit- based on near-infrared spectroscopy octane forecast
BP-optimized-by-genetic-algorithm
- 利用神经网络优化BP神经网络，能有效提高BP神经网络对非线性的拟合精度，效果较好。-Using neural network optimization BP neural network, BP neural network can effectively improve the accuracy of nonlinear fitting better.
artificial-neural-network
- 基于人工神经网络进行数据拟合和预测，其中程序中含有数据，应用时直接修改数据就行-Based on artificial neural network for data fitting and forecasting, where the program contains data, modify data directly on-line application
main
- 本程序描述了有导师学习神经网络回归拟合的一般方法，简单易懂-This procedure describes the teacher learning neural network and the method of regression fitting, easy to understand
bp-neural
- BP神经网络的非线性系统建模-非线性函数拟合，数学建模常用-BP neural network nonlinear system modeling- the non-linear function fitting, commonly used mathematical modeling