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. 為了提高中厚板軋機軋制力的預報精度，采用軋制力模型自適應與人工神經(jīng)元網(wǎng)絡(luò )相結合的方法進(jìn)行中厚板軋制力的在線(xiàn)預報。
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. 同時(shí)，在新的跟蹤算法框架中，將顏色模型和形狀模型自適應的融合，并采用一種新的模型更新方法，這提高了目標跟蹤的穩定性。
