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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juli 2020
Genre:	EDV / Informatik
	Distributedparametermodeling / fuzzycontrol / geneticalgorithm / Künstliche Intelligenz (KI) / ModelPredictiveControl / multi-objectiveoptimization / neuralnetwork / nonlinearmodeling / Principlecomponentanalysis / Q-Learning / Regelungstechnik mehr...
ISBN:	9789811554025
EAN-Code:	9789811554025
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 21 mm
Gewicht:	594 gr
Seiten:	284
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.