Knowledge Acquisition for Spatial Inference — The Case of Genetic Algorithms

Yee Leung
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Yee Leung: The Chinese University of Hong Kong

Chapter 6 in Intelligent Spatial Decision Support Systems, 1997, pp 229-268 from Springer

Abstract: Abstract Intelligent SDSS integrating human expertise and very large spatial databases have become a necessity for solving our highly complex spatial problems such as resource exploration, land-type classification, transportation planning, and environmental management. In addition to a sound theoretical foundation, a good system design, and a powerful and user-friendly software environment, the success of intelligent SDSS lies heavily on the domain specific knowledge they acquired. Knowledge acquisition thus plays a very important role in the design of intelligent SDSS in general and spatial expert systems in particular (Barbanente et al., 1992).

Keywords: Genetic Algorithm; Knowledge Acquisition; Genetic Operator; Premature Convergence; Multilayer Feedforward Neural Network (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-3-642-60714-1_6

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