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M.T. Hagan and M.B. Menhaj, 1994, Training feed-forward networks with the Marquardt algorithm." IEEE Transactions on Neural Networks, No. 6, pp. 861-867.

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• TITLE: Thermal Properties Of Sediments From Middle Valley

  AUTHORS: A. Hafaiedh, K. Hassine

  KEYWORDS: neural network, thermal conductivity, porosity, grain density, bulk density, water content.

  JOURNAL NAME: Journal of Minerals and Materials Characterization and Engineering, Vol.4 No.1, June 12, 2005

  ABSTRACT: A neural network model was used to treat thermal conductivity data obtained from Middle Valley. This technique was able to separate the effects of different parameters such as porosity, grain density, bulk density and water content on the thermal conductivity. Predicted curves showed good agreement with the experimental results.