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This laboratory scale furnace was especially designed to combine a small computational time with a kind of industrial operation.
The performance of the algorithm is further enhanced with an increased population size in a very small computational time.
The experimental results indicate that the proposed on-line FNN model has a high accuracy for estimating progressive flank and crater wear with small computational time.
The main advantage of the model is its flexibility to represent different aspects with a small computational time, making it suitable for process evaluation and design.
Due to the relative simplicity of this example, it is shown that an adequate solution is obtained in a very small computational time.
Based on the results, Spatial Moments combined with Bayes classifier is the best performing model, providing high accuracy rate (99.94%) and small computational time (47.3μ s and 0.165 s for classification and extraction, respectively).
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Experimental results show that, although suboptimal, a Lagrangian-based heuristic consisting in solving a series of minimum network cost flow problems is attractive for practical implementation, both for the quality of the solutions and for the small computational times.
In all experiments, the proposed method got better or equal results in similar or even smaller computational time.
The results obtained with both approaches show that a good quality approximation of Pareto front can be obtained with a significantly smaller computational time than with a state-of-the-art metaheuristic algorithm.
It is shown that the accelerated method requires a fewer number of iterations and smaller computational time in a large part of the gas rarefaction from the transition region to the hydrodynamic limit than the non-accelerated one.
High accuracy, the small number of selected genes, and low computational time were needed to obtain an effective performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com