An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
In the present attempt a set of experiments and a 3D simulation using a commercially available computational fluid dynamics package (FLUENT) were adopted to investigate complex beh...
S. M. Mousavi, A. Jafari, S. Yaghmaei, M. Vossough...
Accuracy of an instrument has been traditionally defined as the sum of the precision and the bias. Recently, this notion was generalized to estimators [Bagajewicz, M. (2005a). On ...
We describe flexible optimization models for the production and distribution of liquefied atmospheric gases. A simulation engine that interacts with the optimization models is use...
Wasu Glankwamdee, Jeff T. Linderoth, Jierui Shen, ...
In this paper, derivation of the optimal chemotherapy schedule is formulated and solved as a dynamic optimization problem. For this purpose two models representing the tumour grow...