The second is a novel modeling strategy that combines an artificial neural network(ANN)as an approximator of the growth rate with prior knowledge represented by the mass balance of sucrose crystal.
Firstly, an iterative learning neural network approximator (ILNNA) design scheme and corresponding boundedness lemma is proposed to approximate time-varying uncertainties.
首先,提出了一种新的迭代神经网络估计器,并证明了其逼近引理,实现了对时变不确定性的逼近。
As a kind of productive material, every type of engineering machine has no monopoly market structure, and the approximator and replacer are emerging in endlessly.