Integration of Artificial Neural Network and GIS for Environment Management
Journal Title: International Journal of Engineering, Science and Mathematics - Year 2012, Vol 2, Issue 2
Abstract
The purpose of a GIS is to provide both the individual and organization with increased knowledge and understanding of spatial data. Often GIS users overlook the „decision making‟ capability these systems can provide, instead, focusing on the presentation. GIS information can become increasingly more valuable for decision making when coupled to artificial intelligence (AI). Artificial intelligence has evolved in recent years to the point that many applications can be run using desktop computing – thus within reach of many GIS professionals. When linked to GIS, artificial intelligence can be useful for evaluating, monitoring and decision-making. Neural networks, fuzzy logic, nanotechnology and evolutionary computation and others are directed toward decision-making functionality. In the case of artificial neural networks (ANN), computing methodologies are being used to simulate how the human brain processes spatial data problems. It is anticipated that many future spatial applications will incorporate elements of artificial intelligence. These networks have many potential applications in GIS including; land use, oceanography, forestry, consumer movement, transportation, bio-sphere studies, image analysis, environmental, entertainment, anti-terrorism, pattern analysis and health. In this paper we will briefly describe ANN, discuss the relationship of ANN to GIS and the benefits of their integration to environment management.
Authors and Affiliations
Prof. N. S. Goje and Dr. U. A. Lanjewar
Keywords
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