DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control / / by Jili Tao, Ridong Zhang, Yong Zhu
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| Autore: |
Tao Jili
|
| Titolo: |
DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control / / by Jili Tao, Ridong Zhang, Yong Zhu
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (IX, 274 p. 187 illus., 108 illus. in color.) |
| Disciplina: | 519.7 |
| Soggetto topico: | Computer science - Mathematics |
| Automatic control | |
| Artificial intelligence | |
| Computational Science and Engineering | |
| Control and Systems Theory | |
| Artificial Intelligence | |
| Persona (resp. second.): | ZhangRidong |
| ZhuYong | |
| Nota di contenuto: | Introduction -- DNA computing based RNA-GA -- DNA double-helix based hybrid genetic algorithm -- DNA computing based multi-objective genetic algorithm -- Parameter identification and optimization for chemical process -- RBF neural network for nonlinear SISO system -- T-S Fuzzy neural network for nonlinear SISO system -- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS -- GA based predictive control design -- MOGA based PID controller design -- Concluding Remarks. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | DNA Computing Based Genetic Algorithm |
| ISBN: | 981-15-5403-X |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483553903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |