Forecasting reliability using non-linear autoregressive external input (NARX) neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s41872-019-00073-4.pdf
Reference7 articles.
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3. Jacobs W, Baldacchino T, Anderson S (2015) Sparse Bayesian identification of polynomial NARX models. In: Proceedings of the 17th IFAC symposium on system identification, Beijing, China, 2015
4. Need R, Rampersad V, Riverol C (2015) Reliability evaluation of a gas turbine water wash system a case study. J Nat Gas Sci Eng 24:457–463
5. Riverol C, Pilipovik M (2014) Assessing the failure frequency of potential hazardous incidents using radial basis function networks (RBFN). A mil pasteurization unit as study case. Food Control 1:18–21
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