Title :
Notice of Retraction
Levenberg-Marquardt neural network for prediction of material mechanical properities
Author :
Tang Jia-li ; Liu Yi-jun ; Wu Fang-sheng
Author_Institution :
Coll. of Comput. Sci. & Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this study we are trying with the Levenberg-Marquardt neural network model to make an effective prediction of material mechanical properties. By using second derivative information, the network convergence speed is promoted and the generalization performance is enhanced. Taking the wheat straw-reinforced composite for instance, the nonlinear mapping is set up from four influence factors (mold temperature, mold pressure, fibre content and time ) to its tensile strength and toughness. The simulation results show the founded network model has preferable learning and generalization capabilities, which performs effectively in predicting composite mechanical properties. Besides, the model is used to optimize process parameters of compression molding and find the range of best parameters.
Keywords :
materials properties; mechanical properties; neural nets; Levenberg-Marquardt neural network model; composite mechanical property; compression molding; generalization capability; generalization performance; learning capability; material mechanical property; network convergence speed; nonlinear mapping; second derivative information; tensile strength; toughness; wheat straw-reinforced composite; Artificial neural networks; Backpropagation algorithms; Compression molding; Computer science; Educational institutions; Materials science and technology; Materials testing; Mechanical factors; Neural networks; Predictive models; Levenberg-Marquardt Algorithm; material mechanical properties; neural network; predicting;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486897
