Designing with Computational Intelligence
Published on 10. October 2016
Book
Hardback
XVIII, 238 pages
978-3-319-44734-6 (ISBN)
Description
This book discusses a number of real-world applications of computational intelligence approaches. Using various examples, it demonstrates that computational intelligence has become a consolidated methodology for automatically creating new competitive solutions to complex real-world problems. It also presents a concise and efficient synthesis of different systems using computationally intelligent techniques.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
79 s/w Abbildungen, 57 farbige Abbildungen
XVIII, 238 p. 136 illus., 57 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 20 mm
Weight
553 gr
ISBN-13
978-3-319-44734-6 (9783319447346)
DOI
10.1007/978-3-319-44735-3
Schweitzer Classification
Other editions
Additional editions
Nadia Nedjah | Heitor Silvério Lopes | Luiza De Macedo Mourelle
Designing with Computational Intelligence
Book
06/2018
Springer
€106.99
Shipment within 10-15 days
Nadia Nedjah | Heitor Silvério Lopes | Luiza De Macedo Mourelle
Designing with Computational Intelligence
E-Book
10/2016
Springer
€96.29
Available for download
Content
On Using Fuzzy Logic to Control a Simulated Hexacopter Carrying an Attached Pendulum.- Monocular Pose Estimation for an Unmanned AerialVehicle using Spectral Features.- Simultaneous Navigation and Mapping in an Autonomous Vehicle based on Fuzzy Logic.- Fully Scalable Parallel Hardware for Wheeled Robot Navigation using Fuzzy Control.- Nonlinear Correction for an Energy Estimator Operating at Severe Pile-up Conditions.- Non-Supervised Learning Applied to Analysis of Topological Metrics of Optical Networks.- Mole Features Extraction for a Melanoma Recognition System.- Human-Machine Musical Composition in Real-Time Based on Emotions Through a Fuzzy Logic Approach.- A Recursive Genetic Algorithm-based approach for Educational Timetabling Problems.- Evolving Connection Weights of Artificial Neural NetworkUsing a Multi-Objective Approach with Application to Class Prediction.- Diversification Strategies in Evolutionary Algorithms:Application to the Scheduling of Power Network Outages.- WBdetect: Particle Swarm Optimization for Segmenting Weld Beads in Radiographic Images