Titlebook: Mathematical Modeling and Computational Intelligence in Engineering Applications; Ant?nio José da Silva Neto,Orestes Llanes Santiago Book

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An Indirect Kernel Optimization Approach to Fault Detection with KPCA,uction technique known as kernel principal component analysis. The kernel parameter optimization proposed here involves the computation of the false alarm rate and false detection rate indicators that are combined in a single indicator: the area under the ROC curve. This approach was tested on the T

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Uncertainty Quantification in Chromatography Process Identification Based on Markov Chain Monte Car used to improve molecular separation/purification. In this chapter, parameter uncertainty produced by the model and measurement errors in a front velocity chromatography model is quantified by means of a Bayesian method, the delayed rejection adaptive metropolis algorithm, which is a variant of the

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Accelerated Direct-Problem Solution: A Complementary Method for Computational Time Reduction,roblem solution as the slow phase in any estimation method. This proposal is considered a complement to existing procedures, such as the combination of different optimization methods for the purpose of reducing the number of calls to the objective function. The proposal consists of a procedure that

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Effects of Antennas on Structural Behavior of Telecommunication Towers,number of communication lattice towers have collapsed in Cuba as a consequence of strong winds. Antennas modify the wind flow around their tower and act as a screen against wind loads and transmit strong efforts to its members. The aim of this chapter is to assess the effect of antenna locations on

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