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Mathematical Modeling and Computational Intelligence in Engineering Applications / edited by Antônio José da Silva Neto, Orestes Llanes Santiago, Geraldo Nunes Silva.

Springer Nature - Springer Mathematics and Statistics eBooks 2016 English International Available online

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Format:
Book
Contributor:
Silva Neto, Antônio José da., Editor.
Llanes Santiago, Orestes., Editor.
Silva, Geraldo Nunes., Editor.
Language:
English
Subjects (All):
Mathematical models.
Mathematics--Data processing.
Mathematics.
Biomathematics.
Computer simulation.
Mathematical Modeling and Industrial Mathematics.
Computational Science and Engineering.
Mathematical and Computational Biology.
Computer Modelling.
Local Subjects:
Mathematical Modeling and Industrial Mathematics.
Computational Science and Engineering.
Mathematical and Computational Biology.
Computer Modelling.
Physical Description:
1 online resource (XXVII, 179 p. 79 illus., 46 illus. in color.)
Edition:
1st ed. 2016.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
Summary:
This 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.
Contents:
Preliminary 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.
Notes:
Includes bibliographical references at the end of each chapters.
ISBN:
3-319-38869-X

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