Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition

Yee Leung
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Yee Leung: The Chinese University of Hongkong

Chapter 4 in GeoComputational Modelling, 2001, pp 71-108 from Springer

Abstract: Abstract Non-linearity, complexity and dynamics have become a focal point of research in spatial analysis, especially in the analysis of spatial data. Regardless of what we are dealing with, the need to handle systems with a high degree of complexity is now the rule rather than the exception. With our spatial systems becoming more and more complex and highly fluid, non-linearity prevails and evolution is full of surprises. It is essential to develop approaches which can effectively analyse complexity, non-linearity and dynamics in spatial systems in general, and in particular spatial classification and knowledge acquisition.

Keywords: Genetic Algorithm; Fuzzy Number; Fuzzy System; Fuzzy Rule; Radial Basis Function Neural Network (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/978-3-662-04637-1_4

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