Intelligent Systems The Industrial Electronics Handbook
Coordonnateurs : Wilamowski Bogdan M., Irwin J. David
The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems?such as neural networks, fuzzy systems, and evolutionary methods?in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components.
Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field.
As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control.
Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems:
- Addresses various aspects of neural networks and fuzzy systems
- Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations
- Discusses several applications that deal with methods of computational intelligence
Other volumes in the set:
Introductions. Neural Networks. Fuzzy Systems. Optimizations. Applications.
Date de parution : 11-2017
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 66,20 €
Ajouter au panierDate de parution : 03-2011
Ouvrage de 350 p.
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 184,47 €
Ajouter au panierThème d’Intelligent Systems :
Mots-clés :
PSO Algorithm; Type-2 Fuzzy Sets; Adam Slowik; Membership Function; Adrian Stoica; Data Set; Anastasios Tefas; Fuzzy Set; Andrzej Obuchowicz; Neuro Fuzzy System; Barrie W; Jervis; MLP Network; Carlos A; Coello Coello; MLP Architecture; Christian Blum; Model Predictive Control; Elsa Silva; Hidden Neurons; Farhat Fnaiech; Fuzzy Controller; Filipe Alvelos; Feedforward Neural Network; Gary Yen; Nondominated Solutions; Guy Paillet; RBF Network; Hani Hagras; Lm Algorithm; Hao Yu; MOEAs; Ioannis Pitas; NSGA; J.M; ValO De Carvalho; NN Adaptive Controller; Juyang Weng; Hidden Layer; J?Zef Korbicz; Jacobian Matrix; Kim Fung Man; GMDH Model; Kit Sang Tang; Information Granules; Krzysztof Szabat; Forward Computation; Kun Tao Chung; ACO Algorithm; Manuel L?Pez-Ib?Ez; Backward Computation; Marcin Mrugalski; Mehmet Der Efe; Michael Margaliot; Milos Manic; Mo-Yuen Chow; Nader Fnaiech; Nicholas Cotton; Oleg Boulanov; Paul J; Werbos; Ronald R; Yager; Ryszard Tadeusiewicz; Sabeur Abid; Sam Kwong; Svetlana N; Yanushkevich; Tak Ming Chan; Teresa Orlowska-Kowalska; Thomas Lindblad; Tiantian Xie; Valeri Rozin; Vlad P; Shmerko; Witold Pedrycz; E J; Eide; digital circuits; analog circuits; intelligent systems; high-power applications