In order to improve the precision of the model, a new method using self adaption and artificial neural networks to predict rolling force was developed. 为了提高中厚板轧机轧制力的预报精度，采用轧制力模型自适应与人工神经元网络相结合的方法进行中厚板轧制力的在线预报。
In our framework, color model and shape model are adaptively fused, a new model update scheme is also proposed, this improves the stability of the object tracking. 同时，在新的跟踪算法框架中，将颜色模型和形状模型自适应的融合，并采用一种新的模型更新方法，这提高了目标跟踪的稳定性。
