000 03736nam a22005655i 4500
001 978-3-319-17747-2
003 DE-He213
005 20200421112047.0
007 cr nn 008mamaa
008 150612s2015 gw | s |||| 0|eng d
020 _a9783319177472
_9978-3-319-17747-2
024 7 _a10.1007/978-3-319-17747-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aDesign of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
_h[electronic resource] /
_cedited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 637 p. 307 illus., 226 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v601
505 0 _aPart I Fuzzy Logic Theory -- Part II Neural Networks Theory -- Part III Neural Networks Applications -- Part IV Nature Inspired Optimization -- Part V Nature Inspired Optimization Applications -- Part VI Optimization: Theory and Applications -- Part VII Fuzzy Logic Applications -- Part VIII Fuzzy Logic and Metaheuristic.
520 _aThis book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aMathematical optimization.
650 0 _aComputational intelligence.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aOptimization.
650 2 4 _aControl, Robotics, Mechatronics.
700 1 _aMelin, Patricia.
_eeditor.
700 1 _aCastillo, Oscar.
_eeditor.
700 1 _aKacprzyk, Janusz.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319177465
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v601
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-17747-2
912 _aZDB-2-ENG
942 _cEBK
999 _c56978
_d56978