Cantitate/Preț
Produs
Total produse
Vezi coșul
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition de Patricia Melin

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition: Studies in Computational Intelligence, cartea 256

Editat de Patricia Melin, Witold Pedrycz
en Limba Engleză Paperback – 14 mar 2012
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 64433 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 14 mar 2012 64433 lei  6-8 săpt.
Hardback (1) 65059 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 30 sep 2009 65059 lei  6-8 săpt.

Din seria Studies in Computational Intelligence

Preț: 64433 lei

Preț vechi: 80541 lei
-20% Nou

Puncte Express: 966
Preț estimativ în valută:
12330€ • 12889$ • 10420£

Carte tipărită la comandă

Livrare economică 06-20 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642260650
ISBN-10: 3642260659
Pagini: 272
Ilustrații: VIII, 263 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

"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 in 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 where both theoretical and application aspects are covered.

Caracteristici

Recent results in Bio-inspired hybrid intelligent systems for Image Analysis and Pattern Recognition