Computational Intelligence for Modelling and Prediction
Published on 12. February 2010
Book
Paperback/Softback
IX, 414 pages
978-3-642-06541-5 (ISBN)
Description
The application of Computational Intelligence in emerging research areas such as Granular Computing, Mechatronics, and Bioinformatics shows its usefulness often emphasized by Prof Lotfi Zadeh, the inventor of fuzzy logic and many others. This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications.
More details
Series
Edition
Softcover reprint of hardcover 1st ed. 2005
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
IX, 414 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
646 gr
ISBN-13
978-3-642-06541-5 (9783642065415)
DOI
10.1007/b93960
Schweitzer Classification
Other editions
Additional editions
Saman K. Halgamuge | Lipo Wang
Computational Intelligence for Modelling and Prediction
Book
09/2005
Springer
€160.49
Shipment within 7-9 days
Persons
Content
From the contents: Symmetrization of Fuzzy Operators: Notes On Data Aggregation.- An Integrity Estimation Using Fuzzy Logic.- Connectionist Fuzzy Relational Systems.- Semantic Indexing and Fuzzy Relevance Model in Information Retrieval.- Backward Reasoning on Rule-Based Systems Modeled by Fuzzy Petri Nets Through Backward Tree.- On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation.- A new approach for the fuzzy shortest path problem.- Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning.- Efficient Reasoning With Fuzzy Words.- Intuitionistic Fuzzy Relational Images.- Thematic Fuzzy Prediction of Weed Dispersal Using Spatial Dataset.- Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets.- Multi-layer Image Transmission with Inverse Pyramidal Decomposition.- Multiple Feature Relevance Feedback in Content-Based Image Retrieval using Probabilistic Inference Networks.