Téléchargez le livre : DNA Computing Based Genetic Algorithm

DNA Computing Based Genetic Algorithm

Applications in Industrial Process Modeling and Control de

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Éditeur :

Springer


Paru le : 2020-07-01

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Description
This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities. 
Pages
274 pages
Collection
n.c
Parution
2020-07-01
Marque
Springer
EAN papier
9789811554025
EAN PDF
9789811554032
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
25815 Ko
Prix
147,69 €
EAN EPUB
9789811554032
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
31171 Ko
Prix
147,69 €

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