@article{MAKHILLRJAS20149129506,
    title = {Automated Test System of Diesel Engines Based on Fuzzy Neural Network},
    journal = {Research Journal of Applied Sciences},
    volume = {9},
    number = {12},
    pages = {1059-1063},
    year = {2014},
    issn = {1815-932x},
    doi = {rjasci.2014.1059.1063},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2014.1059.1063},
    author = {Radik Lenarovich,Aleksej Nikolaevich,Rustam Asgatovich,Lenar Ajratovich and},
    keywords = {automated test systemiev,Diesel engine,information technologyev,fuzzy rulesne,neuro-fuzzy network},
    abstract = {This study deals with the method for controlling a test stand of diesel engines based on fuzzy neural
network. Structure and training algorithm have been proposed for a fuzzy neural network to control a diesel
engine during testing. A knowledge base structure has been proposed. Fuzzy rules have been described to
control a diesel engine. Techniques and algorithms have been realized in the form of a computer program. The
effectiveness of the proposed automated diesel engine test system has been analyzed.}
    }