| 000 | 00983camuu22002774a 4500 | |
| 001 | 000045405042 | |
| 005 | 20071205144715 | |
| 008 | 070420s2007 gw a b 001 0 eng | |
| 010 | ▼a 2007927312 | |
| 020 | ▼a 9783540726869 (hardcover : alk. paper) | |
| 035 | ▼a (KERIS)REF000013555463 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a Q342 ▼b .C654 2007 |
| 082 | 0 0 | ▼a 006.3 ▼2 22 |
| 090 | ▼a 006.3 ▼b C7387 | |
| 245 | 0 0 | ▼a Computational intelligence based on lattice theory / ▼c Vassilis Kaburlasos, Gerhard X. Ritter (eds.). |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer , ▼c c2007. | |
| 300 | ▼a xvi, 375 p. : ▼b ill. (some col.) ; ▼c 24 cm. | |
| 490 | 0 | ▼a Studies in computational intelligence , ▼x 1860-949X ; ▼v v. 67 |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Computational intelligence. |
| 650 | 0 | ▼a Lattice theory. |
| 700 | 1 | ▼a Kaburlasos, Vassilis G. |
| 700 | 1 | ▼a Ritter, G. X. |
| 945 | ▼a KINS |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.3 C7387 | Accession No. 121161130 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Table of Contents
Neural Computation.- Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory.- Learning in Lattice Neural Networks that Employ Dendritic Computing.- Orthonormal Basis Lattice Neural Networks.- Generalized Lattices Express Parallel Distributed Concept Learning.- Mathematical Morphology Applications.- Noise Masking for Pattern Recall Using a Single Lattice Matrix Associative Memory.- Convex Coordinates From Lattice Independent Sets for Visual Pattern Recognition.- A Lattice-Based Approach to Mathematical Morphology for Greyscale and Colour Images.- Morphological and Certain Fuzzy Morphological Associative Memories for Classification and Prediction.- Machine Learning Applications.- The Fuzzy Lattice Reasoning (FLR) Classifier for Mining Environmental Data.- Machine Learning Techniques for Environmental Data Estimation.- Application of Fuzzy Lattice Neurocomputing (FLN) in Ocean Satellite Images for Pattern Recognition.- Genetically Engineered ART Architectures.- Fuzzy Lattice Reasoning (FLR) Classification Using Similarity Measures.- Logic and Inference.- Fuzzy Prolog: Default Values to Represent Missing Information.- Valuations on Lattices: Fuzzification and its Implications.- L-fuzzy Sets and Intuitionistic Fuzzy Sets.- A Family of Multi-valued t-norms and t-conorms.- The Construction of Fuzzy-valued t-norms and t-conorms.
Information Provided By: :
