Abstract
On the basis of illustration of attribute hybrid computing network model, the paper gives the improving methods of training and learning of the model and applies it to fault diagnosis of the main engine water cooling system. The final results of simulation test verify the feasibility of methods.
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© 2011 Springer-Verlag Berlin Heidelberg
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Nianzu, L., Guanglin, X., Yongchang, L. (2011). Fault Diagnosis Model of Main Engine Water Cooling System Based on Attribute Hybrid Computing Network. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_42
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DOI: https://doi.org/10.1007/978-3-642-23220-6_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23219-0
Online ISBN: 978-3-642-23220-6
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