Abstract
Expert system can help the technician to find the Origin of concrete crack effectively. This article proposed design method and frame construction of system. This system used the frame to express the knowledge, and established the characteristic slot, the category slot and the grading slot and so on 5 slots under the crack frame. It determines the proportion of each key value of characteristic slot using the neural network non-supervised learning method. Finally we obtains the subordinate type of the crack and the probability, and gets the concrete remedial treatment and the preventive measure according to the grading result. The concrete example in the end proves this method valid.
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Xiaowei, W. (2011). Expert System of Concrete Crack Diagnosis Based on Neural Network. In: Jiang, L. (eds) Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25188-7_33
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DOI: https://doi.org/10.1007/978-3-642-25188-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25187-0
Online ISBN: 978-3-642-25188-7
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