000 02285cam a2200397Ii 4500
001 9781315364582
008 180706s2016 xx a o 000 0 eng d
020 _a9781315364582
_q(e-book : PDF)
020 _a9781315321943
_q(e-book: Mobi)
020 _z9789814745352
_q(hardback)
024 7 _a10.1201/9781315364582
_2doi
035 _a(OCoLC)990153652
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aTP248.2
_bK563 2016
082 0 4 _a660.6
100 1 _aKim, Dong Hwa,
_eauthor.
245 1 0 _aTuning Innovation with Biotechnology
250 _aFirst edition.
264 1 _bPan Stanford Publishing,
_c2016.
300 _a1 online resource
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
505 0 _achapter 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.
520 2 _a"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.
650 0 4 _aBiotechnology.
650 0 4 _aBiopharmaceutics
650 0 4 _aNanoscience & Nanotechnology
650 0 4 _aNANOnetBASE
650 0 4 _aPHARMACEUTICALnetBASE
650 0 4 _aBIOSCIENCEnetBASE
650 0 4 _aSCI-TECHnetBASE
650 0 4 _aBIOMEDICALSCIENCEnetBASE
650 0 4 _aSTMnetBASE
776 0 8 _iPrint version:
_z9789814745352
856 4 0 _uhttps://www.taylorfrancis.com/books/9789814745369
_zClick here to view.
999 _c128963
_d128963