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Modeling of Soil Cation Exchange Capacity Based on Fuzzy Table Look-up Scheme and Artificial Neural Network Approach

Author

Listed:
  • Ali Keshavarzi
  • Fereydoon Sarmadian
  • Reza Labbafi
  • Majid Vandechali

Abstract

In this study, a new approach is proposed as a modification to a standard fuzzy modeling method based on the table look-up scheme. 70 soil samples were collected from different horizons of 15 soil profiles located in the Ziaran region, Qazvin province, Iran. Then, neural network model (feed-forward back propagation network) and fuzzy table look-up scheme were employed to develop a pedotransfer function for predicting soil CEC using easily measurable characteristics of clay and organic carbon. In order to evaluate the models, root mean square error (RMSE) and R2 were used. The value of RMSE and R2 derived by ANN model for CEC were 0.47 and 0.94 respectively, while these parameters for fuzzy table look-up scheme were 0.33 and 0.98 respectively. Results showed that fuzzy table look-up scheme had better performance in predicting and modeling of soil cation exchange capacity than artificial neural network.

Suggested Citation

  • Ali Keshavarzi & Fereydoon Sarmadian & Reza Labbafi & Majid Vandechali, 2011. "Modeling of Soil Cation Exchange Capacity Based on Fuzzy Table Look-up Scheme and Artificial Neural Network Approach," Modern Applied Science, Canadian Center of Science and Education, vol. 5(1), pages 153-153, February.
    • Handle: RePEc:ibn:masjnl:v:5:y:2011:i:1:p:153
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    References listed on IDEAS

    as
    1. Ruying Sun, 2009. "Data Mining Based on Fuzzy Rough Set Theory and Its Application in the Glass Identification," Modern Applied Science, Canadian Center of Science and Education, vol. 3(8), pages 100-100, August.
    2. Ali Keshavarzi & Fereydoon Sarmadian & Ahmad Heidari & Mahmoud Omid, 2010. "Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)," Modern Applied Science, Canadian Center of Science and Education, vol. 4(7), pages 1-72, July.
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    Cited by:

    1. Nurmiaty Nurmiaty & Sumbangan Baja, 2014. "Using Fuzzy Set Approaches in a Raster GIS for Land Suitability Assessment at a Regional Scale: Case Study in Maros Region, Indonesia," Modern Applied Science, Canadian Center of Science and Education, vol. 8(3), pages 115-115, June.

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    1. Nurmiaty Nurmiaty & Sumbangan Baja, 2014. "Using Fuzzy Set Approaches in a Raster GIS for Land Suitability Assessment at a Regional Scale: Case Study in Maros Region, Indonesia," Modern Applied Science, Canadian Center of Science and Education, vol. 8(3), pages 115-115, June.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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