Oilfield Intelligent Production Optimization and System Simulation Based on Ant Colony Algorithm

Wang, Haochen; Zhang, Kai; Liu, Chengcheng

doi:10.1109/acedpi58926.2023.00050

Cited by 1 publication

(2 citation statements)

References 16 publications

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“…They observed a very interesting phenomenon when they research the ants foraging. The behavior of individual ants is relatively simple, but the ant colony as a whole can exhibit some intelligent behavior 11 …”

Section: Set Multiphysics Modeling Methods Based On Aco‐bp Neural Net...mentioning

confidence: 99%

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A multiphysics SET modeling method based on machine learning

Xu,

Guo,

Chen

et al. 2024

Int J Numerical Modelling

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With continuous downscaling of transistor sizes, the sensitivity to single event effect (SET) has become one of the most important reliability issues for aerospace integrated circuits. Besides the SET, integrated circuits will be affected by multiphysics such as temperature and voltage when working in space. Currently, the commonly used modeling methods are based on physical mechanisms and the double exponential pulse current. However, both methods are hard to build an accurate SET current model when various variables are considered. In this article, a novel machine learning modeling method of multiphysics SET is proposed, using intelligent algorithms to optimize the network also. With this method, we can obtain a reasonable and accurate multiphysics SET model based on neural network with single hidden layer, and there is no need to consider complex physical mechanisms. The model data is collected from TCAD simulation. Ant colony algorithm was used to optimize the initial values of the network. The RMS (root mean square error) of modeling result is less than 2%.

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Section: Set Multiphysics Modeling Methods Based On Aco‐bp Neural Net...mentioning

confidence: 99%

“…The behavior of individual ants is relatively simple, but the ant colony as a whole can exhibit some intelligent behavior. 11 Ants will leave pheromones along the path of finding food sources. Ants within the colony can sense pheromones and move along the route with high pheromone concentration.…”

Section: Ant Colony Algorithmmentioning

confidence: 99%