Bio-inspired hybrid intelligent systems for image analysis and pattern recognition /
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Imprint: | Berlin : Springer, ©2009. |
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Description: | 1 online resource (viii, 262 pages) : illustrations. |
Language: | English |
Series: | Studies in computational intelligence, 1860-949X ; v. 256 Studies in computational intelligence ; v. 256. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11073563 |
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050 | 4 | |a TA1637 |b .B56 2009 | |
084 | |a TN911. 73 |2 clc | ||
084 | |a TP393. 4 |2 clc | ||
049 | |a MAIN | ||
245 | 0 | 0 | |a Bio-inspired hybrid intelligent systems for image analysis and pattern recognition / |c Patricia Melin, Janusz Kacprzyk, and Witold Pedrycz (eds.). |
260 | |a Berlin : |b Springer, |c ©2009. | ||
300 | |a 1 online resource (viii, 262 pages) : |b illustrations. | ||
336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
338 | |a online resource |b cr |2 rdacarrier |0 http://id.loc.gov/vocabulary/carriers/cr | ||
490 | 1 | |a Studies in computational intelligence, |x 1860-949X ; |v v. 256 | |
504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
520 | |a "Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition" comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided in four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book where both theoretical and application aspects are covered. | ||
505 | 0 | |a Introductory Concepts and Models -- A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing -- Interval Type-2 Fuzzy Cellular Model Applied to the Dynamics of a Uni-specific Population Induced by Environment Variations -- A Genetic Programming Approach to the Design of Interest Point Operators -- Modular Neural Networks in Pattern Recognition -- Face, Fingerprint and Voice Recognition with Modular Neural Networks and Fuzzy Integration -- Modular Neural Networks with Fuzzy Response Integration for Signature Recognition -- Intelligent Hybrid System for Person Identification Using Biometric Measures and Modular Neural Networks with Fuzzy Integration of Responses -- Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry -- Comparative Study of Fuzzy Methods for Response Integration in Ensemble Neural Networks for Pattern Recognition -- Neural Network Models and Time Series Prediction -- Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction -- Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster -- Discovering Universal Polynomial Cellular Neural Networks through Genetic Algorithms -- EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding -- Optimization and Robotics -- Modular Neural Networks Architecture Optimization with a New Evolutionary Method Using a Fuzzy Combination Particle Swarm Optimization and Genetic Algorithms -- A Multi-agent Architecture for Controlling Autonomous Mobile Robots Using Fuzzy Logic and Obstacle Avoidance with Computer Vision -- Particle Swarm Optimization Applied to the Design of Type-1 and Type-2 Fuzzy Controllers for an Autonomous Mobile Robot. | |
650 | 0 | |a Image analysis. |0 http://id.loc.gov/authorities/subjects/sh98002813 | |
650 | 0 | |a Pattern perception. |0 http://id.loc.gov/authorities/subjects/sh85098789 | |
650 | 0 | |a Intelligent control systems. |0 http://id.loc.gov/authorities/subjects/sh88003681 | |
650 | 0 | |a Soft computing. |0 http://id.loc.gov/authorities/subjects/sh96004789 | |
650 | 2 | 4 | |a Artificial Intelligence (incl. Robotics) |
650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | |a Appl. Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | |a Signal, Image and Speech Processing. |
650 | 0 | 7 | |a Intelligent control systems. |2 cct |
650 | 0 | 7 | |a Soft computing. |2 cct |
650 | 0 | 7 | |a Image analysis. |2 cct |
650 | 0 | 7 | |a Pattern perception. |2 cct |
650 | 7 | |a Ingénierie. |2 eclas | |
650 | 7 | |a Image analysis. |2 fast |0 (OCoLC)fst00967482 | |
650 | 7 | |a Intelligent control systems. |2 fast |0 (OCoLC)fst00975911 | |
650 | 7 | |a Pattern perception. |2 fast |0 (OCoLC)fst01055254 | |
650 | 7 | |a Soft computing. |2 fast |0 (OCoLC)fst01124115 | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Melin, Patricia, |d 1962- |0 http://id.loc.gov/authorities/names/n00016401 |1 http://viaf.org/viaf/85213429 | |
700 | 1 | |a Kacprzyk, Janusz. |0 http://id.loc.gov/authorities/names/n85191529 |1 http://viaf.org/viaf/101730959 | |
700 | 1 | |a Pedrycz, Witold, |d 1953- |0 http://id.loc.gov/authorities/names/n88231332 |1 http://viaf.org/viaf/49305507 | |
776 | 0 | 8 | |i Print version: |t Bio-inspired hybrid intelligent systems for image analysis and pattern recognition. |d Berlin : Springer Verlag, ©2009 |z 9783642045158 |w (OCoLC)436030887 |
830 | 0 | |a Studies in computational intelligence ; |v v. 256. | |
856 | 4 | 0 | |u http://link.springer.com/10.1007/978-3-642-04516-5 |y SpringerLink |
903 | |a HeVa | ||
929 | |a eresource | ||
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928 | |t Library of Congress classification |a TA1637 .B56 2009 |l Online |c UC-FullText |u http://link.springer.com/10.1007/978-3-642-04516-5 |z SpringerLink |g ebooks |i 9882310 |