In this paper, a neural network model is presented to characterize the thickness and the uniformity of the cellgap process for flexible liquid crystal display (LCD). Input factors are explored via a D-optimal design with 15 runs and used as training data in the neural network. In order to verify the fitness of the model, three more runs are added as test data. Latin hypercube sampling and error...

We have programmed a Monte Carlo simulation of the Q-cycle model of electron transport in cytochrome b(6)f complex, an enzyme in the photosynthetic pathway that converts sunlight into biologically useful forms of chemical energy. Results were compared with published experiments of Kramer and Crofts (Biochim. Biophys. Acta 1183:72-84, 1993). Rates for the simulation were optimized by constructin...

We propose an approach to constructing nested Latin hypercube designs. Such designs are useful for conducting multiple computer experiments with different levels of accuracy. A nested Latin hypercube design with two layers is defined to be a special Latin hypercube design that contains a smaller Latin hypercube design as a subset. Our method is easy to implement and can accommodate any number o...

Abstract With the increasing running speed, aerodynamic issues of high-speed trains are being raised and impact stability energy efficiency. The optimization design head shape is significantly important in improving performance trains. Existing methods limited by parametric modeling train heads which unable to accurately completely parameterize both global shapes local details. Due this reason,...

In order to improve the level of new energy consumption and reduce dependence power system on traditional fossil energy, this paper proposed a bi-level optimization model for virtual plant member selection by means coordination complementarity among different sources, aiming at optimizing economy clean capacity combining it with time sequence load consumption. The method comprises following ste...

The global supply chain is facing huge uncertainties due to potential emergencies, and the disruption of any link may threaten security chain. This paper considers a scenario in which distribution center failure occur simultaneously from point view manufacturer. A resilient optimization model developed based on combination proactive reactive defense strategies, including manufacturer’s raw mate...

Many design optimization problems have that seek fast, efficient and reliable based solutions. In such cases, artificial intelligence-based modeling is used to solve costly complex problems. This study on the of a multiband helical antenna using Latin hypercube sampling (LHS) method reduced data enhanced multilayer perceptron (eMLP). The proposed dual-band has resonance frequencies 2.4 GHz 2.75...