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...
Saved in:
Main Authors: | Xiangqian Li, Zhijun Tong, Enliang Guo, Xiaolong Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2017/1042603 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation and Correction of GPM IMERG Precipitation Products over the Capital Circle in Northeast China at Multiple Spatiotemporal Scales
by: Wei Sun, et al.
Published: (2018-01-01) -
Optimization Design of Phononic Crystals Based on BPNN-MPA in Applied Mathematical Analysis
by: Peiyun Ge
Published: (2024-01-01) -
Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN-PSO
by: Guanbin Gao, et al.
Published: (2018-01-01) -
Structural health evaluation of arch bridge by field test and optimized BPNN algorithm
by: Zhihua Xiong, et al.
Published: (2023-07-01) -
Easterly Wave Disturbances over Northeast Brazil: An Observational Analysis
by: Helber Barros Gomes, et al.
Published: (2015-01-01)