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007			cr cnu|||unuuu
008			160823t20162017sz a ob 001 0 eng d
020			_a3319402102 _q(electronic bk.)
020			_a9783319402109 _q(electronic bk.)
020			_z3319402099
020			_z9783319402093 _q(print)
035			_a(OCoLC)957156891 _z(OCoLC)957615447 _z(OCoLC)961205503
040			_aN$T _cN$T _dIDEBK _dEBLCP _dGW5XE _dYDX _dN$T _dOCLCF _dIDB _dUAB _dIOG _dESU _dZ5A _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dMERUC _dES-MaUEC _bspa
050		4	_aTA169.6 _bK569 2016 EB
245	0	0	_aKnowledge-driven board-level functional fault diagnosis _cFangming Ye, Zhaobo Zhang, Krishnendu Chakrabarty, Xinli Gu.
264		1	_aSwitzerland _bSpringer _c[2016].
264		4	_c2017
300			_a1 recurso en línea (xiii, 147 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aPreface; Acknowledgments; Contents; 1 Introduction; 1.1 Introduction to Manufacturing Test; 1.1.1 System and Tests; 1.1.2 Testing in the Manufacturing Line; 1.2 Introduction to Board-Level Diagnosis; 1.2.1 Review of State-of-the-Art; 1.2.2 Automation in Diagnosis System; 1.2.3 New Directions Enabled by Machine Learning; 1.2.4 Challenges and Opportunities; 1.3 Outline of Book; References; 2 Diagnosis Using Support Vector Machines (SVM); 2.1 Background and Chapter Highlights; 2.2 Diagnosis Using Support Vector Machines; 2.2.1 Support Vector Machines; 2.2.2 SVM Diagnosis Flow
505	8		_a2.3 Multi-kernel Support Vector Machines and Incremental Learning2.3.1 Multi-kernel Support Vector Machines; 2.3.2 Incremental Learning; 2.4 Results; 2.4.1 Evaluation of MK-SVM-Based Diagnosis System; 2.4.2 Evaluation of Incremental SVM-Based Diagnosis System; 2.4.3 Evaluation of Incremental MK-SVM-Based Diagnosis System; 2.5 Chapter Summary; References; 3 Diagnosis Using Multiple Classifiers and Majority-Weighted Voting (WMV); 3.1 Background and Chapter Highlights; 3.2 Artificial Neural Networks (ANN); 3.2.1 Architecture of ANNs; 3.2.2 Demonstration of ANN-Based Diagnosis System
505	8		_a3.3 Comparison Between ANNs and SVMs3.4 Diagnosis Using Weighted-Majority Voting; 3.4.1 Weighted-Majority Voting; 3.4.2 Demonstration of WMV-Based Diagnosis System; 3.5 Results; 3.5.1 Evaluation of ANNs-Based Diagnosis System; 3.5.2 Evaluation of SVMs-Based Diagnosis System; 3.5.3 Evaluation of WMV-Based Diagnosis System; 3.6 Chapter Summary; References; 4 Adaptive Diagnosis Using Decision Trees (DT); 4.1 Background and Chapter Highlights; 4.2 Decision Trees; 4.2.1 Training of Decision Trees; 4.2.2 Example of DT-Based Training and Diagnosis; 4.3 Diagnosis Using Incremental Decision Trees
505	8		_a4.3.1 Incremental Tree Node4.3.2 Addition of a Case; 4.3.3 Ensuring the Best Splitting; 4.3.4 Tree Transposition; 4.4 Diagnosis Flow Based on Incremental Decision Trees; 4.5 Results; 4.5.1 Evaluation of DT-Based Diagnosis System; 4.5.2 Evaluation of Incremental DT-Based Diagnosis System; 4.6 Chapter Summary; References; 5 Information-Theoretic Syndrome and Root-Cause Evaluation; 5.1 Background and Chapter Highlights; 5.2 Evaluation Methods for Diagnosis Systems; 5.2.1 Subset Selection for Syndromes Analysis; 5.2.2 Class-Relevance Statistics; 5.3 Evaluation and Enhancement Framework
505	8		_a5.3.1 Evaluation and Enhancement Procedure5.3.2 An Example of the Proposed Framework; 5.4 Results; 5.4.1 Demonstration of Syndrome Analysis; 5.4.2 Demonstration of Root-Cause Analysis; 5.5 Chapter Summary; References; 6 Handling Missing Syndromes; 6.1 Background and Chapter Highlights; 6.2 Methods to Handle Missing Syndromes; 6.2.1 Missing-Syndrome-Tolerant Fault Diagnosis Flow; 6.2.2 Missing-Syndrome-Preprocessing Methods; 6.2.3 Feature Selection; 6.3 Results; 6.3.1 Evaluation of Label Imputation; 6.3.2 Evaluation of Feature Selection in Handling Missing Syndromes
650		7	_aDiagnóstico de fallos _2embne _0(OCoLC)fst00921982 _0 _9669484
700	1		_aChakrabarty, Krishnendu, _eautor
700	1		_aGu, Xinli, _eautor
700	1		_aYe, Fangming, _eautor
700	1		_aZhang, Zhaobo, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-40210-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94515 _d94515 _x1