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Studies in Computational Intelligence: Bio-Inspired Hybrid Intelligent...

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
ISBN
9783642260650
EAN
9783642260650
Publication Name
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Item Length
9.3in
Publisher
Springer Berlin / Heidelberg
Series
Studies in Computational Intelligence Ser.
Publication Year
2012
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.2in
Author
Springer
Item Width
6.1in
Item Weight
16 Oz
Number of Pages
VIII, 263 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642260659
ISBN-13
9783642260650
eBay Product ID (ePID)
125740434

Product Key Features

Author
Springer
Publication Name
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Format
Trade Paperback
Language
English
Series
Studies in Computational Intelligence Ser.
Publication Year
2012
Type
Textbook
Number of Pages
VIII, 263 Pages

Dimensions

Item Length
9.3in
Item Height
0.2in
Item Width
6.1in
Item Weight
16 Oz

Additional Product Features

Series Volume Number
256
Number of Volumes
1 Vol.
Lc Classification Number
Ta1634
Table of Content
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.
Copyright Date
2009
Topic
Automation, Engineering (General), Cognitive Psychology & Cognition, Data Processing, Applied, Computer Vision & Pattern Recognition, Imaging Systems
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Technology & Engineering, Psychology, Mathematics

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