modeling of critical properties in bionanocomposite hydrogels prepared by freeze-thaw method

Present work is aimed to develop an accurate calculation and analysis of properties in polyvinyl (alcohol)/chitosan/nano zinc oxide as a model bionanocomposite hydrogel produced by freeze-thaw method. the assinged properties consist of wound fluid absorption (wfa), water vapor transmission rate (wvtr), gel content (gc) and porosity as a function of the number of freeze-thaw cycle, thawing time and temperature. since the relationship between the properties with the processing parameters is complex and non-linear, radial basis function (rbf) neural network as a forward network is taken into consideration. the performance evaluation of the suggested model by different statistical parameters indicat that the model meet the accuracy requirements.