Mechanical Performance Prediction of Cold Rolled Ribbed Steel Bars Based on RBF Network with Dividing Variable Space According to Distance between Technological Variables

Bang Sheng Xing; Le Xu

doi:10.4028/www.scientific.net/AMM.574.401

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 574Mechanical Performance Prediction of Cold Rolled...

Mechanical Performance Prediction of Cold Rolled Ribbed Steel Bars Based on RBF Network with Dividing Variable Space According to Distance between Technological Variables

Abstract:

This paper proposes a method of mechanical performance prediction of cold rolled steel based on RBF network with dividing variable space according to distance between technological variables. It builds a sample variable space partitioning model according to the distance between technological variable vectors. It also studies the performance prediction of cold rolled ribbed steel bars based on the 5-in & 1-out RBF network and the performance prediction of cold rolled ribbed steel bars based on the 5-in & 2-out RBF network. The results show that this method can reliably predict the mechanical performance of cold rolled ribbed steel bars, and the predictive effect of the 5-in & 1-out RBF network model based on dividing variable space according to distance between technological variables is superior to the 5-in & 2-out RBF network model.

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Periodical:

Applied Mechanics and Materials (Volume 574)

Pages:

401-405

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.574.401

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Online since:

July 2014

Authors:

Bang Sheng Xing*, Le Xu

Keywords:

Cold Rolled Ribbed Steel Bars, Mechanical Performance, Radial Basis Function Network

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