EFFECT OF NEURAL NETWORK ARCHITECTURE FOR RESULTS FORECAST QUALITY BIODIESEL
The effect of multilayer perceptron network architecture on the results of the forecast density of biodiesel at 15 °C, the kinematic viscosity of biodiesel at 40 °C, the content of mechanical impurities in biodiesel on physico-chemical parameters of raw materials. The architecture of the neural network, which provides the smallest forecast error.