Abstract: Presents a new method of on-line inference of sintering quality. Neural networks to build the sinternig quality inference model are used. To speed the learning, a fast BP learning algorithm with adaptive variable step size via linear reinforcement is presented.The experiment result is satisftory, and this method may be used widely in other complicated production proasses.