The engine test bed is introduced briefly and the importance of modelling for the engine test is discussed. The application of combining radial basis function (RBF) networks and a real-coded genetic algorithm (RCGA) to create the model is described for the engine test. Finally, the experimental results are analysed and it is shown that the proposed approach combining RCGA and RBF models is well suited for the engine test data modelling task.


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    Title :

    Engine Test Data Modelling by Evolutionary Radial Basis Function Networks


    Contributors:
    Lin, W (author) / Wu, M H (author) / Duan, S (author)


    Publication date :

    2003-06-01


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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