A wide range of dairy-based products with additives of plant origin is due to the variety of forms of raw materials and methods of processing it. New soft cheeses with vegetable additives have been developed. Physical and chemical parameters of plant raw materials were studied, and it was found that the wheat germ contains (%) -28.42 protein, 6.7 -fat, carbohydrates -19.98. The formula of vegetable additives for the production of soft cheeses has been developed, the ratio of vegetable raw materials and wheat germ is 70:30, while the mass fraction of protein in the additive is 10.6%. Mathematically, neural networks can be considered as a class of statistical modeling methods, which, in turn, can be divided into three classes: probability density estimation, classification and regression. The problem of estimating the probability density by the method of mixing Gaussian distributions is solved with the help of inverse distribution networks and the generalized d-rule.