Abstract
This paper gives an intelligent selection algorithm which was applied in the cases, making the crane working condition intelligent selection come true. The selection system is based on visual C++ language rules and describes the establishment of knowledge database knowledge reasoning process and inference model of expert system construction detailedly. In the last part of this paper, the experiment proved the system feasibility. The system will make a contribution to the selection of crane.
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© 2012 Springer-Verlag Berlin Heidelberg
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Deng, Q., Nie, L., Fan, Q., Hu, Y. (2012). An Expert System for Crane Working Condition Selection. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31507-7_32
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DOI: https://doi.org/10.1007/978-3-642-31507-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31506-0
Online ISBN: 978-3-642-31507-7
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