Computational intelligence based on lattice theory / Vassilis G Kaburlasos and Gerhard X Ritter
Material type:
TextSeries: Studies in computational intelligence ; 67Publication details: New York : Springer, 2007Description: xvi, 375p, 24cmISBN: - 9783540726869
- 006.3 KAB
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Book
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Calcutta | 006.3 KAB (Browse shelf(Opens below)) | Available | IIMC-124686 |
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| 006.3 JAC Introduction to artificial intelligence / | 006.3 JAI Advances in evolutionary computing for system design / | 006.3 JAN Neuro-fuzzy and soft computing : | 006.3 KAB Computational intelligence based on lattice theory / | 006.3 KAL Theoretical aspects of evolutionary computing / | 006.3 KAN Uncertainty in artificial intelligence / | 006.3 KAN Search in artificial intelligence / |
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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