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.
Engine Test Data Modelling by Evolutionary Radial Basis Function Networks
2003-06-01
9 pages
Article (Journal)
Electronic Resource
English
Engine test data modelling by evolutionary radial basis function networks
Automotive engineering | 2003
|Engine test data modelling by evolutionary radial basis function networks
Online Contents | 2003
|Evolutionary Optimization Of Multimodal Functions Using Radial Basis Function Networks
British Library Conference Proceedings | 2008
|Space Shuttle Main Engine Sensor Modeling Using Radial-Basis-Function Neural Networks
Online Contents | 1994
|