Paper Title:
The Model Reconstruction of Carbon Black/Rubber Composites’ Heat Generation Ratio Based on Levenberg-Marquardt BP Algorithm
  Abstract

Different temperature, different frequency, different recipe, then heat generation ratio of carbon black/rubber composites will be different. An artificial neural network model has been developed based on the analysis of the relation between carbon black/rubber composites‘ heat generation ratio and temperature,frequency.The neural network model is compared with the quadratic fitting formulae and relative errors is analyzed. The simulation results indicated the neural network model’s precision is greater than the quadratic fitting formulae’s, and artificial neural network theory can be used in the research field of carbon black/rubber composites’ thermophysical properties.

  Info
Periodical
Advanced Materials Research (Volumes 87-88)
Edited by
Lianxiang Ma, Chuangsheng Wang and Weimin Yang
Pages
369-374
DOI
10.4028/www.scientific.net/AMR.87-88.369
Citation
Z. Z. Yu, L. X. Ma, "The Model Reconstruction of Carbon Black/Rubber Composites’ Heat Generation Ratio Based on Levenberg-Marquardt BP Algorithm", Advanced Materials Research, Vols. 87-88, pp. 369-374, 2010
Online since
December 2009
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