Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series.

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第一作者： Adam,Vaughan

第一单位： Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: vaughana@umich.edu.

作者： Adam,Vaughan ^[1] ; Stanislav V,Bohac ^[2]

作者单位： Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: vaughana@umich.edu. ^[1] Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: sbohac@umich.edu. ^[2]

关键词 Adaptive extreme learning machine Chaos theory Dynamical system Non-linear Non-stationary Time series

主题词算法(Algorithms);汽油(Gasoline);模型, 神经学(Models, Neurological);非线性动力学(Nonlinear Dynamics);车辆排放物(Vehicle Emissions)

DOI 10.1016/j.neunet.2015.04.007

PMID 26164437

发布时间 2018-12-02

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准确一般字义偏差语意偏离译文作用小提交