Prediction of effective thermal conductivity of moist porous materials using arti fi cial neural network approach

An artificial neural networks (ANNs) approach is presented for the prediction of effective thermal conductivity of porous systems filled with different liquids. ANN models are based on feedforward backpropagation network with training functions: LevenbergeMarquardt (LM), conjugate gradient with FletchereReeves updates (CGF), one-step secant (OSS… (More)