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000781085 020__ $$a9783319578132$$q(electronic book)
000781085 020__ $$a3319578138$$q(electronic book)
000781085 020__ $$z9783319578125
000781085 035__ $$aSP(OCoLC)ocn984691689
000781085 035__ $$aSP(OCoLC)984691689
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000781085 049__ $$aISEA
000781085 050_4 $$aQA76.9.S63
000781085 08204 $$a006.3$$223
000781085 1001_ $$aDíaz Cortés, Margarita Arimatea,$$eauthor.
000781085 24510 $$aEngineering applications of soft computing /$$cMargarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas.
000781085 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000781085 300__ $$a1 online resource (xv, 258 pages) :$$billustrations.
000781085 336__ $$atext$$btxt$$2rdacontent
000781085 337__ $$acomputer$$bc$$2rdamedia
000781085 338__ $$aonline resource$$bcr$$2rdacarrier
000781085 4901_ $$aIntelligent systems reference library,$$x1868-4394 ;$$vvolume 129
000781085 504__ $$aIncludes bibliographical references.
000781085 5050_ $$aPreface; Contents; 1 Introduction; 1.1 Soft Computing; 1.2 Fuzzy Logic; 1.3 Neural Networks; 1.4 Evolutionary Computation; 1.5 Definition of an Optimization Problem; 1.6 Classical Optimization; 1.7 Optimization with Evolutionary Computation; 1.8 Soft Computing in Engineering; References; 2 Motion Estimation Algorithm Using Block-Matching and Harmony Search Optimization; 2.1 Introduction; 2.2 Harmony Search Algorithm; 2.2.1 The Harmony Search Algorithm; 2.2.1.1 Initializing the Problem and Algorithm Parameters; 2.2.1.2 Harmony Memory Initialization; 2.2.1.3 Improvisation of New Harmony Vectors
000781085 5058_ $$a2.2.1.4 Updating the Harmony Memory2.2.2 Computational Procedure; 2.3 Fitness Approximation Method; 2.3.1 Updating the Individual Database; 2.3.2 Fitness Calculation Strategy; 2.3.3 HS Optimization Method; 2.4 Motion Estimation and Block-Matching; 2.5 Block-Matching Algorithm Based on Harmony Search with the Estimation Strategy; 2.5.1 Initial Population; 2.5.2 Tuning of the HS Algorithm; 2.5.3 The HS-BM Algorithm; 2.5.4 Discussion on the Accuracy of the Fitness Approximation Strategy; 2.6 Experimental Results; 2.6.1 HS-BM Results; 2.6.2 Results on H.264; 2.7 Conclusions; References
000781085 5058_ $$a3 Gravitational Search Algorithm Applied to Parameter Identification for Induction Motors3.1 Introduction; 3.2 Problem Statement; 3.3 Gravitational Search Algorithm; 3.4 Experimental Results; 3.4.1 Induction Motor Parameter Identification; 3.4.2 Statistical Analysis; 3.5 Conclusions; References; 4 Color Segmentation Using LVQ Neural Networks; 4.1 Introduction; 4.1.1 Histogram Thresholding and Color Space Clustering; 4.1.2 Edge Detection; 4.1.3 Probabilistic Methods; 4.1.4 Soft-Computing Techniques; 4.1.5 Scheme; 4.2 Background Issues; 4.2.1 RGB Space Color; 4.2.2 Artificial Neural Networks
000781085 5058_ $$a4.3 Competitive Networks4.4 Learning Vectors Quantization Vectors; 4.5 Architecture of the Color Segmentation System; 4.6 Implementation; 4.7 Results and Discussion; 4.8 Conclusions; References; 5 Global Optimization Using Opposition-Based Electromagnetism-Like Algorithm; 5.1 Introduction; 5.2 Electromagnetism: Like Optimization Algorithm (EMO); 5.2.1 Initialization; 5.2.2 Local Search; 5.2.3 Total Force Vector Computation; 5.2.4 Movement; 5.3 Opposition-Based Learning (OBL); 5.3.1 Opposite Number; 5.3.2 Opposite Point; 5.3.3 Opposite-Based Optimization
000781085 5058_ $$a5.4 Opposition-Based Electromagnetism-Like Optimization Algorithm5.4.1 Opposition-Based Population Initialization; 5.4.2 Opposition-Based Production for New Generation; 5.5 Experimental Results; 5.5.1 Test Problems; 5.5.2 Parameter Settings for the Involved EMO Algorithms; 5.5.3 Results; 5.6 Conclusions; References; 6 Multi-threshold Segmentation Using Learning Automata; 6.1 Introduction; 6.2 Gaussian Approximation; 6.3 Learning Automata (LA); 6.3.1 CARLA Algorithm; 6.4 Implementation; 6.5 Experimental Results; 6.5.1 LA Algorithm Performance in Image Segmentation
000781085 506__ $$aAccess limited to authorized users.
000781085 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 2, 2017).
000781085 650_0 $$aSoft computing.
000781085 7001_ $$aCuevas, Erik,$$eauthor.
000781085 7001_ $$aRojas, Raúl,$$d1955-$$eauthor.
000781085 830_0 $$aIntelligent systems reference library ;$$vv. 129.
000781085 852__ $$bebk
000781085 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-57813-2$$zOnline Access$$91397441.1
000781085 909CO $$ooai:library.usi.edu:781085$$pGLOBAL_SET
000781085 980__ $$aEBOOK
000781085 980__ $$aBIB
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