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Computational Intelligence for Modelling and Prediction: Studies in Computational Intelligence, cartea 2

Editat de Saman K. Halgamuge, Lipo Wang
en Limba Engleză Paperback – 12 feb 2010
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.
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Paperback (1) 92324 lei  43-57 zile
  Springer Berlin, Heidelberg – 12 feb 2010 92324 lei  43-57 zile
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  Springer Berlin, Heidelberg – 2 sep 2005 92936 lei  43-57 zile

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Specificații

ISBN-13: 9783642065415
ISBN-10: 3642065414
Pagini: 424
Ilustrații: IX, 414 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.59 kg
Ediția:Softcover reprint of hardcover 1st ed. 2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Includes supplementary material: sn.pub/extras