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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - Springer
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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - nuovo livro

2009, ISBN: 9783642045165

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 system… mais…

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - nuovo livro

ISBN: 9783642045165

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - Friedrich Recknagel
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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - nuovo livro

ISBN: 9783642045165

Comprising papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems, the articles in this book are divided into four main parts that cover important… mais…

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition - nuovo livro

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
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9783642045165

Dados detalhados do livro - Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition


EAN (ISBN-13): 9783642045165
Ano de publicação: 2009
Editor/Editora: Springer Berlin
8 Páginas
Língua: eng/Englisch

Livro na base de dados desde 2011-08-28T09:40:02-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-03-04T09:44:20-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642045165

Número ISBN - Ortografia alternativa:
978-3-642-04516-5
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: jan melin, friedrich recknagel, pedrycz witold
Título do livro: pattern recognition, hybrid, image analysis and recognition, the pattern, inspired, intelligent

Dados da editora

Autor: Patricia Melin
Título: Studies in Computational Intelligence; Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Editora: Springer; Springer Berlin
263 Páginas
Ano de publicação: 2009-11-19
Berlin; Heidelberg; DE
Língua: Inglês
99,00 € (DE)

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Bio-Inspired Hybrid Intelligent Systems; Computational Intelligence; Pattern Recognition; algorithms; fingerprint; fuzzy logic; fuzzy set; genetic programming; image analysis; image processing; C; Computer Vision; Mathematical and Computational Engineering Applications; Artificial Intelligence; Signal, Speech and Image Processing; Computer Imaging, Vision, Pattern Recognition and Graphics; Engineering; Mathematik für Ingenieure; Künstliche Intelligenz; Elektronik; Digitale Signalverarbeitung (DSP); Bildverarbeitung; BC

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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