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Mostrando ítems 1-10 de 20157
Dynamic simulator and model predictive control of an integrated solar combined cycle plant
(Pergamon-Elsevier, 2016)
This paper presents the design and evaluation of a dynamic simulator for an ISCC (integrated solar combined cycle) plant. The design of the simulator is based on the phenomenological equations for both a combined cycle ...
Gradually including potential users: A tool to counter design exclusions
(Elsevier B.V., 2018-01-01)
The paper describes an iterative development process used to understand the suitability of different inclusive design evaluation tools applied into design practices. At the end of this process, a tool named Inclusive Design ...
Use of uniform designs in combination with neural networks for viral infection process development
(2015)
This work aimed to compare the predictive capacity of empirical models, based on the uniform design utilization combined to artificial neural networks with respect to classical factorial designs in bioprocess, using as ...
Plant-wide control design based on steady-state combined indexes
(Elsevier Science, 2016-01)
This work proposes an alternative methodology for designing multi-loop control structures based on steady-state indexes and multi-objective combinatorial optimization problems. Indeed, the simultaneous selection of the ...
Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets
(2011-09-26)
The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind ...
Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets
(2011-09-26)
The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind ...
Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design
(TAYLOR & FRANCIS LTD, 2006)
A number of investigators have pointed out that products and processes lack quality because of performance inconsistency, which is often due to uncontrollable parameters in the manufacturing process or product usage. Robust ...