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TITLE: Neural Networks And Geographic Information Systems | |
Abstract—
The latest stage of development of information science has been marked by increasingly frequent interrelation of powerful tools and conceptual solutions that stimulate better communication, comprehension and management of complex manifestations and processes in real geographic space. Geographic information systems together with artificial neural networks are applied to many areas of natural and social sciences in order to improve the processes of analysis, planning and decision-making
The process of neural network learning is most often based on updating of weighted connection coefficients, and sometimes on updating of input processing units only.When the network learning has been completed, connection weighted coefficients remain unchangeable. Only then can the network be used for the anticipated tasks
Used as a classifier of complex geographic and satellite gathered data, neural networks demonstrate many advantages over classic statistical classifier
Keywords—neural networks, geographic information systems, integration, classification, modeling, decision-making |
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