Quantifying Spatiotemporal Dynamics of Solar Radiation over the Northeast China Based on ACO-BPNN Model and Intensity Analysis
Reliable information on the spatiotemporal dynamics of solar radiation plays a crucial role in studies relating to global climate change. In this study, a new backpropagation neural network (BPNN) model optimized with an Ant Colony Optimization (ACO) algorithm was developed to generate the ACO-BPNN...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2017/1042603 |
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