Abstract
This paper discusses an application of neural network system on the performance prediction of solid boronizing. To build the mathematics model between the solid boronizing and the prediction of boronizing performance, a neural network approach is adopted. This approach overcomes a lot of problems in the traditional approaches and provides a stable and effective approach.
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Liu, Y., Zhang, Z. (2012). Application of Neural Network on Solid Boronizing. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_1
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DOI: https://doi.org/10.1007/978-3-642-24553-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24552-7
Online ISBN: 978-3-642-24553-4
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