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Více informací o knize DNA Computing Based Genetic Algorithm

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Plný název: DNA Computing Based Genetic Algorithm
• Podnázev: Applications in Industrial Process Modeling and Control
• Autor: Jili Tao, Ridong Zhang, Yong Zhu
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 274
• EAN: 9789811554025
• ID: 28722055
• Nakladatelství: Springer Verlag, Singapore
• Hmotnost: 594 g
• Rozměry: 235 × 155 × 21 mm
• Datum vydání: 01. July 2020

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