Compensation of automatic weighing error of belt weigher based on BP neural network

A belt weigher is widely used in industrial production and trade settlement; however, it is difficult to maintain its nominal measuring accuracy in service. With the belt weigher indication, average speed of belt, variation in belt sag, running deviation of belt, environmental temperature, and humidity as inputs, and the control instrument indication as output, a BP neural network model to compensate the automatic weighing error of the belt...