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In this paper, a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented.
For these networks, they presented a backpropagation based on learning algorithm.
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The classification method is designed based on advanced statistical learning algorithm such as support vector machine algorithm for binary classification and is adopted to quantitatively evaluate gait symmetry.
We therefore employed a more sophisticated machine learning method originally developed for DNA microarray data analysis, based on the ensemble learning algorithm LogitBoost-NR as described in [ 10], to provide a second ranking of the genes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com