Predicting Duct Height in Atmospheric Duct by Neural Network

Xiao Long Zhao

doi:10.4028/www.scientific.net/AMR.588-589.2101

Paper Titles

Predicting Urban Runoff under Different Surface Conditions in Xi’an, China with DRAINMOD
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Research on Energy Efficiency of Embedded Systems: A Systematic Mapping Study
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Attitude Change on the along Track Interference Baseline and Moving Target Velocimetry in the Distributed Satellite SAR System
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Study on the Blanket Effective Area Model of Active Jammer Fixed in the Missile Aimed to Shipborne Radar
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Predicting Duct Height in Atmospheric Duct by Neural Network
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Personal Future Transport Development
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Segmentation of Adhering Cell Images Based on Two-Dimensional Histogram
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Research of Lighting Technology Based on the OpenGL
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Evaluation of Traffic Safety of Curved Section with Gray Theory Based on the Driving Track
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Predicting Duct Height in Atmospheric Duct by...

Predicting Duct Height in Atmospheric Duct by Neural Network

Abstract:

The experimental data show that Southeast China Sea has a higher occurrence probability of atmospheric duct. Based on modified refractivity, Neural Network was introduced to predict the duct height of evaporation duct and analyze the anomalous propagation of electromagnetic wave in marine evaporation duct. By Neural Network, Refractivity from Clutter (RFC) is used to predict and forecast the refractive index profile of evaporation duct.