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The Use of Artificial Neural Networks to Prioritize Impact Factors Affecting Thai Rural Village Development

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  • Wittaya Pornpatcharapong
  • Chuvej Chansa-ngavej
  • Supachok Wiriyacosol
  • Chanchai Bunchapattanasakda

Abstract

This paper aims to prioritize impact factors which affect Thai rural village development. The basic village-leveled information database (NRD-2C) of the Community Development Department (CDD), Ministry of Interior, Thailand, was applied with Artificial Neural Networks (ANN) to measure the amount of impact for each factor affecting Thai rural village development. According to results, the top 5 impact factors are “Land Possessionâ€, “Electricityâ€, “Communicationâ€, “Educational Levelâ€, and “Household Industry†with 17.88, 15.35, 14.02, 12.06, and 10.57 score of impact respectively with 95.60 percent of estimated accuracy.

Suggested Citation

  • Wittaya Pornpatcharapong & Chuvej Chansa-ngavej & Supachok Wiriyacosol & Chanchai Bunchapattanasakda, 2011. "The Use of Artificial Neural Networks to Prioritize Impact Factors Affecting Thai Rural Village Development," Journal of Social and Development Sciences, AMH International, vol. 2(2), pages 89-93.
    • Handle: RePEc:rnd:arjsds:v:2:y:2011:i:2:p:89-93
    DOI: 10.22610/jsds.v2i2.657
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