Tuning Innovation with Biotechnology
Seiten
2017
Pan Stanford Publishing Pte Ltd (Verlag)
978-981-4745-35-2 (ISBN)
Pan Stanford Publishing Pte Ltd (Verlag)
978-981-4745-35-2 (ISBN)
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This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial foraging (BF), and hybrid intelligent system to improve plants, robots, etc. It discusses the motivation behind research on and background of evolving intelligence systems and illustrates IM-based approach for parameter estimation required for designing an intelligent system. It approaches optimal intelligent tuning using a hybrid genetic algorithm–particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for intelligent tuning of vector system.
Dong Hwa Kim
Background. Immune Network–Based Parameter Estimation. Intelligent PID Controller Tuning Using a Hybrid GA-PSO Approach. GA-PSO-Based PI Controller Tuning for Indirect Vector Control of Three-Phase Induction Motor. Novel Hybrid System Based on GA and Bacteria Foraging. Conclusion.
Erscheinungsdatum | 12.08.2017 |
---|---|
Zusatzinfo | 45 Tables, black and white; 15 Illustrations, color; 126 Illustrations, black and white |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 521 g |
Themenwelt | Technik ► Umwelttechnik / Biotechnologie |
ISBN-10 | 981-4745-35-9 / 9814745359 |
ISBN-13 | 978-981-4745-35-2 / 9789814745352 |
Zustand | Neuware |
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