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CHARACTERIZATION OF HYDROCARBON MICROSEEPAGES IN THE TUCANO BASIN,(BRAZIL) THROUGH HYPERSPECTRAL CLASSIFICATION AND NEURAL NETWORK ANALYSIS OF ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER (ASTER) DATA
Geology Detection GIS Satellite ASTER Landsat ETM Neural Network Hydrocarbon Microseepage
2015/12/29
This study focus on the characterization of hydrocarbon microseepages in the northern Tucano Basin (Bahia State, Brazil), using geostatistical analysis of regional hydrocarbon geochemical data yielded...
TRAFFIC TIME SERIES FORECASTING BY FEEDFORWARD NEURAL NETWORK: A CASE STUDY BASED ON TRAFFIC DATA OF MONROE
Traffic Neural networks Time series forecasting Intelligence Transportation System
2014/12/1
Short time prediction is one of the most important factors in intelligence transportation system (ITS). In this research, the use of feed forward neural network for traffic time-series prediction is p...
URBAN GROWTH MODELING USING AN ARTIFICIAL NEURAL NETWORK A CASE STUDY OF SANANDAJ CITY, IRAN
Urban Growth Modelling GIS ANN
2014/12/1
Land use activity is a major issue and challenge for town and country planners. Modelling and managing urban growth is a complex problem. Cities are now recognized as complex, non-linear and dynamic p...
Performance Improvement of GPS GDOP Approximation Using Recurrent Wavelet Neural Network
Rapid and Precise Calculation GPS GDOP RWNN
2013/3/5
One of the most important factors affecting the precision of the performance of a GPS receiver is the relative positioning of satellites to each other. Therefore, it is essential to choose appropriate...