Description: 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC Platform: |
Size: 220981 |
Author:杜昭翼 |
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Description: 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC Platform: |
Size: 221184 |
Author:杜昭翼 |
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Description: 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-Program name: ga_bp_predict.cpp Description: The GA-optimized BP neural network procedure for single-factor time series prediction using the single-step and multi-step prediction combining Description: using GA (floating point coding) to optimize the initial NN weights W [j] [i], V [k] [j], then BP algorithm to optimize the use of weights Platform: |
Size: 6144 |
Author:fk774 |
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Description: 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。-c++ to do the wavelet analysis procedures, using wavelet neural network to time series prediction. Platform: |
Size: 6144 |
Author:李建伟 |
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Description: 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-Using neural network time series prediction to sunspots and the actual rotor fault signal as an example, matlab programming Platform: |
Size: 195584 |
Author:苏文胜 |
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Description: 利用灰色系统进行预测的几篇好论文:
BP神经网络_灰色系统联合模型预测软基沉降量 非线性时间序列神经网络预测方法的研究及应用 股票投资价值灰色马尔可夫预测 股票投资价值灰色系统模型及应用 灰色关联神经网络模型在股指预测中的应用 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色神经网络预测模型的应用 灰色-神经网络综合预测模型-Gray prediction system using a few good papers: BP neural network system _ a joint model gray soft ground settlement prediction of nonlinear time series prediction method of neural network research and application of the gray value of equity investments Markov prediction value of the equity investments of the gray system Application of gray relational model and neural network model in forecasting stock gray theory and model and prediction of vehicle ownership in the application of gray neural network traffic prediction compare gray neural network prediction model of the application of gray- the integrated neural network prediction model Platform: |
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Author:yujian |
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Description: Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time series prediction, function approximation, clustering, etc.
In this article, I ll try to review some approaches for optical character recognition using artificial neural networks. The attached project is aimed as a research project, so don t try to find here a ready solution for scanned document processing.
Platform: |
Size: 367616 |
Author:reyjav |
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Description: Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent
neural networks by co-evolutionary strategy. The searching space was separated into two subspaces and the individuals
are trained in a parallel computational procedure. It can dynamically combine the embedding method with the capability
of recurrent neural network to incorporate past experience due to internal recurrence. The eff ectiveness of CERNN is
evaluated by using three benchmark chaotic time series data sets: the Lorenz series, Mackey–Glass series and real-world
sun spot series. The simulation results show that CERNN improves the performances of multi-step-prediction of chaotic
time series. Platform: |
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Author: |
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Description: 采用模糊神经网络anfis预测混沌时间序列的源程序。-The source program of Using fuzzy ANFIS neural network for predicting chaotic time series. Platform: |
Size: 571392 |
Author:胡玉霞 |
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Description: 针对神经网络的瓦斯预测模型存在的泛化性能差且存在易陷入局部最优的缺点，提出了
基于最小二乘支持向量机(LS-SVM)时间序列瓦斯预测方法．由于标准最小二乘支持向量机
(L孓SVM)要求样本误差分布服从高斯分布，且标准LS-SVM丧失鲁棒性与稀疏性等特点，提出
了基于加权LS-SVM的瓦斯时间序列预测的方法，从而提高了标准L孓SVM模型的鲁棒性．其
中时间序列的嵌入维数与延迟时间采用了微熵率最小原则进行选取，在此基础上给出了基于加
权L孓SVM实现多步时间序列预测的算法实现步骤．最后利用MATLAB 7．1对其进行仿真研
究，通过鹤壁十矿1个突出工作面的瓦斯涌出数据实例对模型进行了验证．结果表明，加权
SVM模型比标准的L§SVM明显提高了鲁棒性，可较好地实现时间序列数据的多步预测．-The neural network gas prediction model is poor in generalization performance and
easy in fafling into the local optimal value．In order to overcome these shortcomings，we pro—
pose the time series gas prediction method of least squares support vector machine(L§SVM)．
However，in the LS-SVM case，the sparseness and robustness may lose，and the estimation of
the support values iS optimal only in the case of a Gaussian distribution of the error variables．
So，this paper proposes the weighted L孓SVM tO overcome these tWO drawbacks．Meanwhile，
the optimal embedding dimension and delay time of time series are obtained by the smallest dif—
ferential entropy method．On this basis，multi-step time series prediction algorithm steps are
given based on the weighted LS-SVM．Finally，the data of gas outburst in working face of Hebi
lOth mine iS adopted to validate this model．The results show that the predict effect of shortterm
the face gas emission is better using the weighted LS-SVM model than using Platform: |
Size: 490496 |
Author:wanggen |
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Description: 利用MATLAB的反馈网络-Elman神经网络处理时间序列问题的功能预测上证股市开盘价。-Elman Feedback network using MATLAB neural network for time series prediction problem function on card stock market opening. Platform: |
Size: 4096 |
Author:sdu |
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Description: 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) Platform: |
Size: 2048 |
Author:尤其要微笑 |
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Search - time series prediction using neural network