APPLICATION OF NEURAL NETWORK MODELING IN DETERMINING OF BRIQUETTING POWER PARAMETERS IN RECYCLING OF AGRICULTURAL MACHINERY
The paper deals with the study of power parameters of briquetting process of agricultural vehicle frames. Represented statistical data on all types of equipment, recently recycled in Tver’s region. As a result of laboratory and industrial tests were obtained power parameters of press equipment according to the original form of agricultural equipment. Determined polynomial and neural network models that adequately describe the variation of responses depending on a number of input parameters.