Tienfuan Kerh

0000-0001-6839-3726

Personal Information

Biography
Ph.D University of Southern California, Los Angeles, California, USA Professor, National Pingtung University of Science and Technology, Pingtung , Taiwan

Publications

  • Public

    Estimation of groundwater recharge using the chloride mass-balance method, Pingtung Plain, Taiwan Aug-1998

    Ting, C, Kerh, T & Liao, C, 1998, 'Estimation of groundwater recharge using the chloride mass-balance method, Pingtung Plain, Taiwan', vol. 6, no. 2, pp. 282-292.
  • Public

    A mixture neural methodology for computing rice consumptive water requirements in Fada N’Gourma Region, Eastern Burkina Faso

    Traore, S, Wang, Y, Kan, C, Kerh, T & Leu, J, 2010, 'A mixture neural methodology for computing rice consumptive water requirements in Fada N’Gourma Region, Eastern Burkina Faso', vol. 8, no. 2, pp. 165-173.
  • Public

    Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone

    Traore, S, Wang, Y & Kerh, T, 2010, 'Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone', vol. 97, no. 5, pp. 707-714.
  • Public

    Evaluations of the strong ground motion parameter by neural computing and microtremor measurement

    Kerh, T, Tienchi Ku & Gunaratnam, D, 2010, 'Evaluations of the strong ground motion parameter by neural computing and microtremor measurement', ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010, IEEE, pp. 1-7.
  • Public

    Finite element analysis of fluid motion with an oscillating structural system

    Kerh, T, Lee, J & Wellford, L, 1998, 'Finite element analysis of fluid motion with an oscillating structural system', vol. 29, no. 7-9, pp. 717-722.
  • Public

    Forecasting of Nonlinear Shoreline Variation Based on Aerial Survey Map by Neural Network Approach

    Kerh, T, Wang, Y, Hsu, G & Gunaratnam, D, 2009, 'Forecasting of Nonlinear Shoreline Variation Based on Aerial Survey Map by Neural Network Approach', vol. 10, no. 9.
  • Public

    Neural Network Approach for Analyzing Seismic Data to Identify Potentially Hazardous Bridges

    Kerh, T, Huang, C & Gunaratnam, D, 2011, 'Neural Network Approach for Analyzing Seismic Data to Identify Potentially Hazardous Bridges', vol. 2011, pp. 1-15.
  • Public

    Neural computing with genetic algorithm in evaluating potentially hazardous metropolitan areas result from earthquake

    Kerh, T, Gunaratnam, D & Chan, Y, 2010, 'Neural computing with genetic algorithm in evaluating potentially hazardous metropolitan areas result from earthquake', vol. 19, no. 4, pp. 521-529.
  • Public

    Neural networks approach and microtremor measurements in estimating peak ground acceleration due to strong motion

    Kerh, T & Chu, D, 2002, 'Neural networks approach and microtremor measurements in estimating peak ground acceleration due to strong motion', vol. 33, no. 11-12, pp. 733-742.
  • Public

    Neural networks forecasting of flood discharge at an unmeasured station using river upstream information

    Kerh, T & Lee, C, 2006, 'Neural networks forecasting of flood discharge at an unmeasured station using river upstream information', vol. 37, no. 8, pp. 533-543.
  • Public

    Transient Fluid-Structure Interaction in a Control Valve

    Kerh, T, Lee, J & Wellford, L, 1997, 'Transient Fluid-Structure Interaction in a Control Valve', vol. 119, no. 2, p. 354.

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