| 000 | 00000nam u2200205 4500 | |
| 001 | 000045119765 | |
| 005 | 20260102113949 | |
| 008 | 040922s2004 gw a b 001 0 eng | |
| 020 | ▼a 354020265X (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d 244002 ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a QA76.76.E95 ▼b I533 2004 |
| 082 | 0 0 | ▼a 006.33 ▼2 21 |
| 090 | ▼a 006.33 ▼b I58 | |
| 245 | 0 0 | ▼a Innovations in intelligent systems / ▼c Ajith Abraham, Lakhmi C. Jain, Berend J. von der Zwaag (eds.). |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer, ▼c 2004. | |
| 300 | ▼a xxv, 468 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Studies in fuzziness and soft computing ; ▼v v. 140 |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Expert systems (Computer science). |
| 650 | 0 | ▼a Artificial intelligence. |
| 700 | 1 | ▼a Abraham, Ajith, ▼d 1968-. |
| 700 | 1 | ▼a Jain, L. C., ▼d 1946- ▼0 AUTH(211009)178951. |
| 700 | 1 | ▼a Von der Zwaag, Berend J. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 006.33 I58 | 등록번호 151159895 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.
Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.
New feature
Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.
정보제공 :
목차
Use of multi-category proximal SVM for data set reduction.- Bayesian control of dynamic systems.- AppART: a hybrid neural network based on adaptive resonance theory for universal function approximation.- An algorithmic approach to the main concepts of rough set theory.- Automated case selection from databases using similarity-based rough approximation.- An induction algorithm with selection significance based on a fuzzy derivative.- Model and fixpoint semantics for fuzzy disjunctive programs with weak similarity.- An automated report generation tool for the data understanding phase.- Finding trigonometric identities with tree adjunct grammar guided genetic Modeling a distributed knowledge management for autonomous cooperative agents with knowledge migration programming.- Intelligent information systems based on paraconsistent logic programs.- Neuro-fuzzy paradigms for intelligent energy management.- Information space optimization for inductive learning.- Detecting, tracking, and classifying human movement using active contour Fuzzy sets in investigation of human cognition processes models and neural networks.- A full explanation facility for an MLP network that classifies .- Automatic translation to controlled medical vocabularies low-back-pain patients and for predicting MLP reliability.- A genetic programming for the induction of natural language parser.
정보제공 :