Furthermore, introduced a new forecast model based on BP neural network, a real diagnosis is done by the investigated data, the results show that the bullwhip effect and their variable are different due to different forecasting techniques, it is the BP neural network that makes the best method...
This paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that multi-layer perceptron and radial basis function models outperform Elman networks. We...
This paper aims to compare the performance of different Artificial Neural Networks techniques for tourist demand forecasting. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron, a radial basis function and an Elman network. We also evaluate the effect...
This research work addresses the problem of forecasting for product sales using different forecasting techniques and models. It focuses on the application of different forecasting methods in the case study company. Product sales of their monthly sales data were gathered in the case study company over...
Comparative Analysis of Solar Radiation Forecasting Models: Unveiling the Potential of Feature Selection Techniques This detailed examination elucidates the nuanced influence of FS on ML models, offering insights for optimizing solar energy (SE) integration into power ... H Hissou,S Benkirane,A Guezza...
Discuss demand forecasting techniques. Explain using words and graphs of how the supply curve is derived (where do they come from)? Explain the difference between the use of tradition, authority, and a market system as allocators of scarce resources.Explore...
Comparison of Different Artificial Neural Networks Techniques and Autoregressive Models for Forecasting of PM_(10) Comparison of Different Artificial Neural Networks Techniques and Autoregressive Models for Forecasting of PM_(10)Atmospheric particulate matter (PM10 ) is one... Yadav,Vibha,Nath,... - ...
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It is critical to select an optimal strategy using simulation-optimization techniques to reduce the cost and remove the contaminants efficiently. The conventional simulation-optimization process for SEAR strategy optimization is computation expensive as it needs thousands of times or more iterations of ...
Approaches and Techniques in Super-high-yielding Cultivation in Rice Rice is the most important food crop in China. The realization of its super-high-yielding has great significance in ensuring food security in this country... Z Hao,D Yong,J Yang - 《Chinese Agricultural Science Bulletin》 被...