Presented are results of a research on the possibility of using artificial neural networks for forecasting mechanical and technological

parameters of moulding sands containing water-glass, hardened in the innovative microwave heating process. Trial predictions were

confronted with experimental results of examining sandmixes prepared on the base of high-silica sand, containing various grades of

sodium water-glass and additions of a wetting agent. It was found on the grounds of obtained values of tensile strength and permeability

that, with use of artificial neural networks, it is possible complex forecasting mechanical and technological properties of these materials

after microwave heating and the obtained data will be used in further research works on application of modern analytic methods for

designing production technology of high-quality casting cores and moulds.