LEADER 04207nam  22005895  450 
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010   $a3-319-38869-X
024 7 $a10.1007/978-3-319-38869-4
035   $a(CKB)3710000000824652
035   $a(DE-He213)978-3-319-38869-4
035   $a(MiAaPQ)EBC4643661
035   $a(PPN)194806596
035   $a(EXLCZ)993710000000824652
100   $a20160730d2016      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMathematical Modeling and Computational Intelligence in Engineering Applications /$fedited by Antônio José da Silva Neto, Orestes Llanes Santiago, Geraldo Nunes Silva
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XXVII, 179 p. 79 illus., 46 illus. in color.) 
311   $a3-319-38868-1 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aPreliminary Correlations for Characterizing the Morphology of Abdominal Aortic Aneurysms as Predictor of Rupture -- Mathematical-Computational Simulations of Cytoskeletal Dynamics -- Fault Diagnosis with Missing Data based on Hopfield Neural Networks -- Diagnosing Time-Dependent Incipient Faults -- An Indirect Kernel Optimization Approach to Fault Detection with KPCA -- Uncertainty Quantification in Chromatography Process Identification based on Markov Chain Monte Caro -- Inverse Analysis of a New Anomalous Diffusion Model Employing Maximum Likelihood and Bayesian Estimation -- Accelerated Direct Problem Solution: A Complementary Method for Computational Time Reduction -- Effects of Antennas on Structural Behavior of Telecommunication Towers -- Comparing Two-Level Preconditioners for Solving Petroleum Reservoir Simulation Problems -- Assessment of the Reliability of Electrical Power Systems -- Polymeric Thin Film Transistors Modeling in the Presence of non-Ohmic Contacts.
330   $aThis book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.
606   $aMathematical models
606   $aMathematics$xData processing
606   $aBiomathematics
606   $aComputer simulation
606   $aMathematical Modeling and Industrial Mathematics
606   $aComputational Science and Engineering
606   $aMathematical and Computational Biology
606   $aComputer Modelling
615  0$aMathematical models.
615  0$aMathematics$xData processing.
615  0$aBiomathematics.
615  0$aComputer simulation.
615 14$aMathematical Modeling and Industrial Mathematics.
615 24$aComputational Science and Engineering.
615 24$aMathematical and Computational Biology.
615 24$aComputer Modelling.
676   $a003.3
702   $aSilva Neto$b Antônio José da$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLlanes Santiago$b Orestes$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSilva$b Geraldo Nunes$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910254085703321
996   $aMathematical modeling and computational intelligence in engineering applications$91523441
997   $aUNINA