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本程序 是基于对货流量的预测 程序完整 采用GRNN广义神经网络-This procedure is based on a complete freight traffic forecasting process using generalized neural network GRNN
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仿真流量预测模型，模拟产生实际流量由小变大，并实时预测下一时刻的流量信息。-Simulation flow forecasting model to simulate a real flow from small to big, and real-time traffic information predict the next moment.
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该算法完整地描述了小波神经网络对交通流预测的过程-The algorithm is a complete descr iption of wavelet neural network in forecasting of traffic flow process
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历史交通流预测，采用matlab编程，预测效果很好-Historical traffic flow forecasting, using matlab programming, forecasting good results
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源于谱分析的交通流预测，预测效果相当不错-From spectral analysis of traffic flow forecasting, prediction is quite good
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小波神经网络的时间序列预测-短时交通流量预测,MATLAB的经典算法-Wavelet Neural Network Time Series Prediction- term traffic flow forecasting, MATLAB classical algorithm
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小波神经网络的时间序列预测——短时交通流量预测-Time series forecasting based on wavelet neural network- short- term traffic flow forecasting
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小波神经网络的时间序列预测-短时交通流量预测-Time series prediction of short term traffic flow forecasting based on Wavelet Neural Network
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本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavel
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