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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition  Patricia Melin (u. a.)  Buch  Studies in Computational Intelligence  Englisch  2009 - Melin, Patricia
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Melin, Patricia:

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition Patricia Melin (u. a.) Buch Studies in Computational Intelligence Englisch 2009 - encuadernado, tapa blanda

2009, ISBN: 9783642045158

[ED: Gebunden], [PU: Springer-Verlag GmbH], Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, … Más…

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - Patricia Melin
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Patricia Melin:

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - libro nuevo

ISBN: 9783642045158

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Melin, Patricia und Witold Pedrycz:
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 2010 - libro usado

2009

ISBN: 9783642045158

2010 Neubindung, Buchschnitt leicht verkürzt 5672795/12 Versandkostenfreie Lieferung image processing,image analysis,Computational Intelligence,algorithms,fuzzy set,fingerprint,Pattern Re… Más…

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Patricia Melin, Witold Pedrycz:
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 2010 - libro usado

2009, ISBN: 9783642045158

2010 Neubindung, Buchschnitt leicht verkürzt 5672795/12 Versandkostenfreie Lieferung image, processing, analysis, Computational, Intelligence, algorithms, fuzzy, fingerprint, Pattern, R… Más…

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - Pasta blanda

2010, ISBN: 9783642045158

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Detalles del libro
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

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 into 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 in which both theoretical and application aspects are covered.

Detalles del libro - Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition


EAN (ISBN-13): 9783642045158
ISBN (ISBN-10): 3642045154
Tapa dura
Tapa blanda
Año de publicación: 2009
Editorial: Springer Berlin
262 Páginas
Peso: 0,541 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-06-30T03:35:49+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-01-04T03:32:14+01:00 (Madrid)
ISBN/EAN: 3642045154

ISBN - escritura alterna:
3-642-04515-4, 978-3-642-04515-8
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: patricia janusz, jan melin, willaert, pedrycz witold
Título del libro: hybrid, pattern recognition, analysis systems, image analysis and recognition, studies computational intelligence, bio, inspired, intelligent, fundamentals


Datos del la editorial

Autor: Patricia Melin; Witold Pedrycz
Título: Studies in Computational Intelligence; Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Editorial: Springer; Springer Berlin
263 Páginas
Año de publicación: 2009-09-30
Berlin; Heidelberg; DE
Impreso en
Peso: 1,230 kg
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
VIII, 263 p.

BB; Image Processing and Computer Vision; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Technik; Bio-Inspired Hybrid Intelligent Systems; Computational Intelligence; Pattern Recognition; algorithms; fingerprint; fuzzy logic; fuzzy set; genetic programming; image analysis; image processing; Mathematical and Computational Engineering; Artificial Intelligence; Signal, Image and Speech Processing; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Vision; Mathematical and Computational Engineering Applications; Artificial Intelligence; Signal, Speech and Image Processing; Computer Imaging, Vision, Pattern Recognition and Graphics; Mathematik für Ingenieure; Künstliche Intelligenz; Elektronik; Digitale Signalverarbeitung (DSP); Bildverarbeitung; BC; EA

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.

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