Library Services | Technical University of Kenya

Your cart is empty.
Normal view MARC view ISBD view

Tuning Innovation with Biotechnology

By: Kim, Dong Hwa [author.].
Material type: materialTypeLabelBookPublisher: Pan Stanford Publishing, 2016Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781315364582; 9781315321943.Subject(s): Biotechnology | Biopharmaceutics | Nanoscience & Nanotechnology | NANOnetBASE | PHARMACEUTICALnetBASE | BIOSCIENCEnetBASE | SCI-TECHnetBASE | BIOMEDICALSCIENCEnetBASE | STMnetBASEDDC classification: 660.6 Online resources: Click here to view.
Contents:
chapter 1 Background -- chapter 2 Artificial Immune Algorithm–Based Intelligent Parameter Estimation -- chapter 3 Intelligent System Tuning Using a Hybrid GA-PSO Approach -- chapter 4 Intelligent Vector Control Using a Hybrid GA-PSO System -- chapter 5 Intelligent Tuning Using Hybrid System of GA and BF -- chapter 6 Artificial Intelligence, Emotion Function, and ICT -- chapter 7 Hybrid System by AINFS and AINFNNS for Robust Control of Nonlinear System.
Scope and content: "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. "--Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

chapter 1 Background -- chapter 2 Artificial Immune Algorithm–Based Intelligent Parameter Estimation -- chapter 3 Intelligent System Tuning Using a Hybrid GA-PSO Approach -- chapter 4 Intelligent Vector Control Using a Hybrid GA-PSO System -- chapter 5 Intelligent Tuning Using Hybrid System of GA and BF -- chapter 6 Artificial Intelligence, Emotion Function, and ICT -- chapter 7 Hybrid System by AINFS and AINFNNS for Robust Control of Nonlinear System.

"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. "--Provided by publisher.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue