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In this study, Levenberg-Marquardt (LM) Algorithm and Steepest Descent (SD) Algorithm based ANN models are used in predicting the compressive strength of SIFCON concrete that contains cement, manufactured sand and various percentage fibre fractions, at different curing times.
ACF and PACF are used in predicting the orders of the ARIMA model.
In this study, we propose a new method for optimizing functional association networks that are used in predicting gene function.
Spontaneous minute ventilation (VE), peak inspiratory airway pressure (Plmax), rapid shallow breathing index (f/vT), relative inspiratory effect (RIE), and the P A-a O2, blood urea nitrogen and gender score (A + B + G) are used in P A-a O2ng weaning success.
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Our findings suggest that both variables should be used in predicting the risk of disease to reduce risk of inaccurate predictions.
The model developed can be used in predicting membrane reactor performance under industrial process conditions.
Therefore, these models could be used in predicting the behavior or design of the UAIB reactors.
In this paper both analytical as well as soft computing approach is used in predicting the performance of an IEC.
These results can be used in predicting the viscosities of syrups for either process design or new products formulation.
In this study, single and double-variable regression models (UPV and RN) were used in predicting concrete compressive strength.
Our displacement analysis may be used in predicting hot spots of void defects in the Cu interconnect of real Si wafers.
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