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An artificial neural network (ANN) has been built to predict the copolymer composition.
Quantitative linear models were also built to predict the specific flux decline and fouling formation.
Based on progressive folding mechanism, global bending mechanism and hybrid folding mechanism, theoretical models were built to predict the MCF.
Thermal structural numerical models for pistons and cylinder heads were built to predict the transient temperature and thermal stress.
Considering the strain rate effect, deterioration model was built to predict the STS degradation of rock after repeated TS.
A theoretical modelling tool has been built to predict the performance of the device in the laboratory.
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The LSSVM model was built to predict accurately the cytotoxicity of ILs to capture the nonlinear nature.
Two different kinds of models were built to predict cost: the concurrent model and the prospective model.
The previous model was built to predict how the future DH system will look.
Meanwhile, mathematical models with correlation coefficients of 97.9% and 98.2% respectively were built to predict both the soluble chemical oxygen demand (COD) yield and BMP after pretreatment.
Both kinetic and probability models were built to predict growth of the strain under the assayed conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com