Hybrid intelligent systems for pattern recognition using soft computing : an evolutionary approach for neural networks and fuzzy systems
| 000 | 01183camuu22003137a 4500 | |
| 001 | 000045224430 | |
| 005 | 20060223100813 | |
| 008 | 041117s2005 gw a b 001 0 eng d | |
| 010 | ▼a 2004116661 | |
| 020 | ▼a 3540241213 (hd.bd.) | |
| 035 | ▼a (KERIS)REF000011689395 | |
| 040 | ▼a OHX ▼c OHX ▼d EMU ▼d DLC ▼d 211009 | |
| 042 | ▼a lccopycat | |
| 050 | 0 0 | ▼a QA76.87 ▼b .M45 2005 |
| 082 | 0 0 | ▼a 006.3/2 ▼2 22 |
| 090 | ▼a 006.32 ▼b M522h | |
| 100 | 1 | ▼a Melin, Patricia , ▼d 1962-. |
| 245 | 1 0 | ▼a Hybrid intelligent systems for pattern recognition using soft computing : ▼b an evolutionary approach for neural networks and fuzzy systems / ▼c Patricia Melin, Oscar Castillo. |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer , ▼c c2005. | |
| 300 | ▼a xiv, 272 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 0 | ▼a Studies in fuzziness and soft computing , ▼x 1434-9922 ; ▼v v. 172 |
| 504 | ▼a Includes bibliographical references (p. [257]-268) and index. | |
| 650 | 0 | ▼a Neural networks (Computer science) |
| 650 | 0 | ▼a Soft computing. |
| 650 | 0 | ▼a Pattern recognition systems. |
| 650 | 0 | ▼a Fuzzy systems. |
| 700 | 1 | ▼a Castillo, Oscar ▼d 1959- |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.32 M522h | 등록번호 121121623 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.
New feature
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.
정보제공 :
목차
Introduction to Pattern Recognition with Intelligent Systems.- Type-1 Fuzzy Logic.- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic.- Supervised Neural Networks.- Unsupervised Neural Networks.- Modular Neural Networks.- Evolutionary Computing for Architecture Optimization.- Clustering with Intelligent Techniques.- Face Recognition with Modular Neural Networks and Fuzzy Measures.- Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures.- Voice Recognition with Neural Networks and Genetic Algorithms.- Human Recognition Using Face, Fingerprint and Voice.
정보제공 :