Computational Intelligence Based on Lattice Theory
Vassilis G. Kaburlasos, Gerhard X. Ritter “Computational Intelligence Based on Lattice Theory"
Springer | 2007-09-10 | ISBN: 3540726861 | PDF | 376 pages | 18,2 Mb
Springer | 2007-09-10 | ISBN: 3540726861 | PDF | 376 pages | 18,2 Mb
The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness in neural computation. Moreover, lattice theory has the potential to unify a number of diverse concepts and aid in the cross-fertilization of both tools and ideas within the numerous subfields of CI. The compilation of this eighteen-chapter book is an initiative towards proliferating established knowledge in the hope to further expand it. This edited book is a balanced synthesis of four parts emphasizing, in turn, neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The articles here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.
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