A new approach in improvement of mean value models for spark ignition engines using neural networks. Issue 12 (15th July 2015)

• Record Type: Journal Article
• Authors: Shamekhi, Amir-Mohammad; Shamekhi, Amir H.
• Is Part Of: Expert systems with applications. Volume 42:Issue 12(2015)
• Page Start: 5192
• Page End: 5218
• Publication Date: 2015-07-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.02.031
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st105">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0495">We present a highly accurate, real-time control-oriented model for SI engines.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0500">Incorporating neural nets into mean value models, we achieve a grey-box extension.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0505">Neuro-MVM is much more accurate than MVM, and is also more reliable than a mere NN.</p> </list-item> <list-item id="o0020"> <label></label> <p id="p0510">The model precisely predicts transient conditions, in a wide range of reliability.</p> </list-item> <list-item id="o0025"> <label></label> <p id="p0515">This study reaches high levels of accuracy in designing neural networks.</p> </list-item> </list> </p> </sec> </abstract>