Abstract
In order to accelerate the calculating speed and improve the calculating ability of the internal-combustion engine designing program, the neural-fuzzy system was used to map the relevant charts during the design. It is shown by means of a practical application of concrete data and charts that the relation of primary charts and data can be better expressed by the use of this kind of method. At the same time, this method has more high precision and a quicker speed on data recognition thereby satisfying the requirement of designing computation when compared with the method of using merely an artificial neural net.
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Acknowledgment
This project has gained the support of educational funds of the Liaoning province education department (20091468).
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Tian, G., Sun, S., Zhang, T. (2012). Data Processing in Internal-Combustion Engine Design Based on Neural-Fuzzy System. In: Chen, R. (eds) 2011 International Conference in Electrics, Communication and Automatic Control Proceedings. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8849-2_24
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DOI: https://doi.org/10.1007/978-1-4419-8849-2_24
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