搜索资源列表
GA_BP
- 用遗传算法优化BP神经网络,得到跟精确训练的网络,更加准确的进行拟合,校正,样本预测。(The BP neural network is optimized by genetic algorithm, and the network with accurate training is more accurate, fitting, correcting and forecasting samples.)
案例28
- 灰色神经网络matlab案例源码,5因素市场预测,可用于小样本预测与估计。(Gray neural network matlab case source code, 5 factors market forecast, can be used for small sample forecasting and estimation.)
神经网络预测
- 神经网络预测的一个经典算例,P矩阵的数据可以改,方便使用(A example of neural network)
matab
- 用神经网络预测模型和灰色预测模型对1996-2000年GDP进行预测(Neural network prediction model and grey prediction model are used to predict GDP in 1996-2000 years)
新建文件夹 (2)
- 该程序是小波神经网络对交通流量预测,易于实现。(The program is a wavelet neural network for traffic flow prediction, easy to implement.)
1-BP_work
- matlab实现BP神经网络进行拟合和预测(Matlab implementation of BP neural network for fitting and prediction)
小波代码
- 主要是小波神经网络matlab代码,做预测(Matlab code of wavelet neural network)
ACOBP
- 用蚁群算法优化BP神经网络,然后用于预测,非常实用,适合初学者。(This is the aco-bp code in matlab)
总文件
- 曲线拟合多步预测,多个小波分解,VMD分解,神经网络集成,源代码(Curve fitting multistep prediction, multiple wavelet decomposition, VMD decomposition, neural network integration, source code)
work
- matlab补偿模糊神经网络源代码 本文中有两个函数m文件:model126.m是一个用于预测的完全没有用工具箱函数的补偿模糊神经网络主程序,用于仿真、对比训练数据和网络输出的差异;cb.m是一个非线性系统的数学模型,在model126.m中用“ode45”函数求解这个数学模型后,可以得到105个x1(t)、x2(t)和y(t),从而建立起一个两输入一输出的补偿模糊神经网络。(There are two function m file in this paper: model126.m is
股票预测
- 基于神经网络的股票价格预测的MATLAB实现,经网络的在实际预测模型中的问题(MATLAB implementation of stock price prediction based on neural network and problems in the actual forecasting model via network)
Elman神经网络的数据预测
- 一个短时的电力流量预测,Elman算法与神经网络结合的实例(A short time traffic flow prediction, an example of the combination of Elman algorithm and neural network)
BP
- 一个简单的BP神经网络matlab代码,且包含利用训练好的网络的预测代码(A simple BP neural network matlab code that contains predictive code that uses a trained network)
小波神经网络的时间序列预测——短时交通流量预测
- 小波神经网络的时间序列预测——短时交通流量预测(Prediction of time series based on Wavelet Neural Network -- short term traffic flow prediction)
ann
- 单纯的神经网络做预测,添加数据文件,修改输入参数,可直接运行(Simple neural network to predict, add data files, modify input parameters, can be directly run)
IIII
- 利用MATLAB 2016a进行BP神经网络的预测,包含了基本工具箱的使用(The use of MATLAB 2016a for BP neural network prediction, including the use of the basic toolbox.)
高铁客运量预测
- BP神经网络等多种算法预测高铁站客运量,程序下载可直接运行。(BP neural network and other algorithms predict high-speed rail station passenger volume, program downloading can be directly run.)
基于MATLAB神经网络的股票价格预测
- 基于MATLAB做的神经网络的股票价格预测算法。(Stock price prediction algorithm based on MATLAB neural network.)
Matlab实现
- 使用两种不同神经网络预测鸢尾花的分类,对两种结果进行比较(Prediction of the classification of irises by two neural networks)
系统辨识及其MATLAB仿真
- 对动态系统辨识理论做了概括性的介绍,包含了常用的非参数系统辨识方法和参数辨识方法,并将神经网络人工智能算法应用到复杂系统参数识别,适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例,每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system