Add to ORKG此处通过灰色关联分析确定影响货运量的关键因素，将这些关键因素作为灰色神经网络模型的输入，并通过遗传算法提高灰色神经网络的权重和阈值，从而避免了模型的失误。重叠局部最优。各种不同模型的预测结果表明，基于遗传算法优化的灰色神经网络具有较高的预测精度，证明了该模型合理可靠，可为货运量预测提供参考
AbstractEffect factors on coal and gas outburst are analyzed using grey correlation method so as to ...
The proposes the epic Gray Deep Neural Network Model (GDNNM), Multi-Layer Perception (MLP) Neu...
[[abstract]]The rapid economic growth of Asia‐Pacific countries continues to result in faster travel...
Railway freight volume is an important part of the total social freight volume and an important indi...
Logistics demand forecasting is important for investment decision-making of infrastructure and strat...
Railway freight transportation is an important part of the national economy. The accurate forecast o...
Due to the continuous improvement of productivity, the transportation demand of freight volume is al...
Changes in the demand for bulk cargo will have a significant impact on the industrial structure and ...
Grey prediction models for time series have been widely applied to demand forecasting because only l...
AbstractThe increase in passenger and freight traffic in a region reflects the development of railwa...
AbstractIn this paper, we apply grey correlation analysis to choose the key factors that affect the ...
Purpose: In this study, we aim to design a mathematical model for railway freight volume prediction ...
AbstractGas disaster is one of the most serious disasters in coal mine safety production. Therefore,...
AbstractAn important feature of smart grid is the intelligent power distribution function based on l...
Water transportation is an important part of comprehensive transportation and plays a critical role ...
AbstractEffect factors on coal and gas outburst are analyzed using grey correlation method so as to ...
The proposes the epic Gray Deep Neural Network Model (GDNNM), Multi-Layer Perception (MLP) Neu...
[[abstract]]The rapid economic growth of Asia‐Pacific countries continues to result in faster travel...
Railway freight volume is an important part of the total social freight volume and an important indi...
Logistics demand forecasting is important for investment decision-making of infrastructure and strat...
Railway freight transportation is an important part of the national economy. The accurate forecast o...
Due to the continuous improvement of productivity, the transportation demand of freight volume is al...
Changes in the demand for bulk cargo will have a significant impact on the industrial structure and ...
Grey prediction models for time series have been widely applied to demand forecasting because only l...
AbstractThe increase in passenger and freight traffic in a region reflects the development of railwa...
AbstractIn this paper, we apply grey correlation analysis to choose the key factors that affect the ...
Purpose: In this study, we aim to design a mathematical model for railway freight volume prediction ...
AbstractGas disaster is one of the most serious disasters in coal mine safety production. Therefore,...
AbstractAn important feature of smart grid is the intelligent power distribution function based on l...
Water transportation is an important part of comprehensive transportation and plays a critical role ...
AbstractEffect factors on coal and gas outburst are analyzed using grey correlation method so as to ...
The proposes the epic Gray Deep Neural Network Model (GDNNM), Multi-Layer Perception (MLP) Neu...
[[abstract]]The rapid economic growth of Asia‐Pacific countries continues to result in faster travel...