搜索资源列表
timeseries
- 用小波神经网络来对时间序列进行预测,其中有四个m文件-wavelet neural network to forecast the time series, which document 4 m
ga-bp
- 程序名:ga_bp_predict.cpp 描述: 采用GA优化的BP神经网络程序,用于单因素时间 序列的预测,采用了单步与多步相结合预测 说明: 采用GA(浮点编码)优化NN的初始权值W[j][i],V[k][j],然后再采用BP算法 优化权值
xiaobo
- c++做的小波分析程序,用小波神经网络来对时间序列进行预测。
Multi-componentsNeuralNetworkandTimeSeriesPredicti
- 利用神经网络预测时间序列,以太阳黑子和实际的转子故障信号为例,matlab编程
development-risk-prediction
- 本文基于BP神经网络应用于预测的原理,提出预测步骤及预测可行性,探讨建立基于BP神经网络的预测模型的关键技术,包括样本的选取与预处理、输入输出变量的选取、隐层节点数的确定、初始权值和阈值的选取、激活函数、训练算法与参数的选取,最后建立合理的网络模型;结合住宅市场的实际情况,建立两类BP 神经网络预测模型:基于时间序列的趋势预测模型以及基于影响因素的回归预测模型,即分别采用神经网络趋势预测和回归预测的思路,把住宅市场的供给、需求与房价的历年数据以及其影响因素的数据分别作为学习样本,建立预测模型,
TimeS_Pre_net
- 该程序为一个用神经网络预测时间序列,界面不错,经运行效果也很好。-This program for a time series prediction with neural network, the interface is good, the operation effect is very good also.
chapter
- 神经网络模型,chapter.m,对于预测时间序列有较好的稳定-Neural network model, chapter.m forecast time series has a better stability
1010280956fe8fe2fe0827f49e
- 基于混沌时间序列的神经网络预测,包括一步和多步预测算法-Based on neural network prediction of chaotic time series, including step and multi-step prediction algorithm
xiaoboshenjingwangluo
- 小波神经网络实现的时间序列预测,短时交通流量预测。-Wavelet neural network time series forecast, short-term traffic flow forecasting.
BP
- bp神经网络,其主要功能是用于风功率或风速时间序列预测- The bp neural network, its main function is used for wind power or wind speed forecasting
matlab
- 用风电功率历史数据来对未来一段时间功率的数值进行预测,通过Matlab软件编程和Excel处理数据,用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测,预测之后对得到的数据进行误差分析,通过与一些标准的对比来确定预测方法的可靠程度-Using historical data to forecast wind power to the value to the future time power, by Matlab software pr
MLP_MG
- Mackey-Glass时间序列预测建模问题,建立了四输入一输出、具有3层结构的MLP人工神经网络,实现了函数逼近的功能。-Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation fu
DUOZHONGSHIJIANXULIEFANGFABIJIAO
- 关于时间序列的预测模型,本文件夹里包含多种时间序列预测的方法,有支持向量机、神经网络、改进的遗传神经网络法等。-On the prediction model of time series, this folder contains many kinds of time series forecasting methods, support vector machine, neural network, improved genetic neural network method.
siliconpredictNARXwith-pca-VS-kpca
- 用PCA加动态神经网络(DNN)与KPCA加动态神经网络(DNN)做铁水含硅量预测,适用于多种时间序列预测。-the prediction of silicon content with NARX model based on PCA and DNN Vs the prediction of silicon content with NARX model based on KPCA and DNN .This method also can use to the other time serie
ibwmkwsf
- 关于神经网络控制,是国外的成品模型,使用matlab实现智能预测控制算法,时间序列数据分析中的梅林变换工具,是机器学习的例程。- On neural network control, Foreign model is finished, Use matlab intelligent predictive control algorithm, Time series data analysis Mellin transform tool, Machine learning routines.
ddwwtfep
- 迭代自组织数据分析,是一种双隐层反向传播神经网络,在matlab环境中自动识别连通区域的大小,时间序列数据分析中的梅林变换工具,重要参数的提取,阐述了负荷预测的应用研究。- Iterative self-organizing data analysis, Is a two hidden layer back propagation neural network, Automatic identification in the matlab environment the size of the
non_guiyi
- 改进的BP神经网络,因为目的是针对单一的时间序列进行预测,所以该算法没有进行归一化处理,经检验具有还不错的效果,并且附上了对序列进行处理以改变其维度的完整代码。-The improved BP neural network, because the purpose is for single time series forecast, so no normalized processing, the algorithm has a good effect after inspection, an
bouking
- 是一种双隐层反向传播神经网络,LZ复杂度反映的是一个时间序列中,可以广泛的应用于数据预测及数据分析。- Is a two hidden layer back propagation neural network, LZ complexity is reflected in a time sequence, Can be widely used in data analysis and forecast data.
lstm
- 使用lstm神经网络预测时间序列,同时对参数选择进行优化(Time series prediction using LSTM neural network, the selection of the parameters are optimized)
BP
- BP神经网络,预测时间序列的石油价格波动(BP neural network for forecasting fitting time series)