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

Authors:
;
Publication Date:
Grant/Contract Number:
EE0003533
Type:
Publisher's Accepted Manuscript
Journal Name:
Neural Networks
Additional Journal Information:
Journal Name: Neural Networks Journal Volume: 70 Journal Issue: C; Journal ID: ISSN 0893-6080
Publisher:
Elsevier
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1249849

Vaughan, Adam, and Bohac, Stanislav V. Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series. United States: N. p., Web. doi:10.1016/j.neunet.2015.04.007.
Vaughan, Adam, & Bohac, Stanislav V. Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series. United States. doi:10.1016/j.neunet.2015.04.007.
Vaughan, Adam, and Bohac, Stanislav V. 2015. "Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series". United States. doi:10.1016/j.neunet.2015.04.007.
@article{osti_1249849,
title = {Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series},
author = {Vaughan, Adam and Bohac, Stanislav V.},
abstractNote = {},
doi = {10.1016/j.neunet.2015.04.007},
journal = {Neural Networks},
number = C,
volume = 70,
place = {United States},
year = {2015},
month = {10}
}