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A genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams
In this paper, a new neural network learning procedure, called genetic fuzzy hybrid learning algorithm (GFHLA) is proposed for training the radial basis function neural network (RBFNN). The methodExpand
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Hot melt extrusion technology for improved dissolution, solubility and “spring‐parachute” processes of amorphous self‐micellizing solid dispersions containing BCS II drugs indomethacin and
ABSTRACT Many strategies have been employed to improve oral drug delivery. One such approach involves the use of supersaturable delivery systems such as amorphous self‐micellizing solid dispersionsExpand
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[Stereoscopic remote sensing used in monitoring Enteromorpha Prolifra disaster in Chinese Yellow Sea].
In the summer 2008, Enteromorpha Prolifra broke out in Yellow Sea and East Sea on a large scale for the first time, and became a marine disaster. The authors constructed a stereoscopic monitoringExpand
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Retrieval of aerosol components directly from satellite and ground-based measurements
Abstract. This study presents a novel methodology for the remote monitoring of aerosol components over large spatial and temporal domains. The concept is realized within the GRASP (GeneralizedExpand
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[Retrieval of dust fraction of atmospheric aerosols based on spectra characteristics of refractive indices obtained from remote sensing measurements].
Mineral dust is an important chemical component of aerosol, which has a significant impact on the climate and environmental changes. The spectral behavior of aerosol refractive indices at fourExpand
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Research on delamination monitoring for composite structures based on HHGA-WNN
Due to the deficiencies of the training algorithms for available wavelet neural network used for structural health monitoring, a new hybrid hierarchy genetic algorithm was introduced by combiningExpand
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[Simulation and analysis of polarization characteristics for real sea surface sunglint].
The sea surface sunglint is caused by specular reflectance. Water is a kind of dark target with a very low reflectance, so sunglint becomes a big noise in the aerial or aerospace remote sensingExpand
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Evaluating VIIRS EPS Aerosol Optical Depth in China: An intercomparison against ground-based measurements and MODIS
Abstract The Visible Infrared Imaging Radiometer Suite (VIIRS) has been providing routine retrievals of aerosol properties since 2011. As a new generation advanced sensor, VIIRS has certainExpand
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[Improving accumulation-mode fraction based on spectral aerosol optical depth in Beijing].
In the present study, the authors put forward a parameterization method of correcting fine-mode Angstrom index with aerosol optical depth and volume distribution of aerosol derived from AERONET inExpand
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Use of A Neural Network-Based Ocean Body Radiative Transfer Model for Aerosol Retrievals from Multi-Angle Polarimetric Measurements
For aerosol retrieval from multi-angle polarimetric (MAP) measurements over the ocean it is important to accurately account for the contribution of the ocean-body to the top-of-atmosphere signal,Expand
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