An ensemble neuro-fuzzy radial basis network with self-adaptive swarm based supervisor and negative correlation for modeling automotive engine coldstart hydrocarbon emissions: A soft solution to a crucial automotive problem-Reference-Cited by-同舟云学术

An ensemble neuro-fuzzy radial basis network with self-adaptive swarm based supervisor and negative correlation for modeling automotive engine coldstart hydrocarbon emissions: A soft solution to a crucial automotive problem

Published:2015-07 Issue: Volume:32 Page:449-467
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Mozaffari Ahmad,Azad Nasser L.

Publisher

Elsevier BV

Subject

Software

Reference56 articles.

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5. N.A. Henein, M.K. Tagomori, M.K. Yassine, T.W. Asmus, C.P. Thomas, P.G. Hartman, Cycle-by-cycle analysis of HC emissions during cold start of gasoline engines, SAE Technical Paper (1995) No. 952402.

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