Providing a Fuzzy Neural Network Model to Predict the General Health of Women Through Relationship Factors contributing to Sports Participation Motivation and Body Culture
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The present study aims at the prediction of general health based on the sports participation and body culture. The sample consists of all women employees of Kerman University of Medical Sciences, including 549 people.. To collect data, the General Health Questionnaire (GHQ-28), sports participation motivation questionnaire (Gill et al, 1983), and the body culture questionnaire which was researcher made were applied. The content validity method was used and the above theoretical framework was developed through fuzzy neural network in MATLAB.Using the adaptive neural fuzzy inference system (ANFIS) for the input variables, there appeared a relationship between the input variables, sports participation and Body Cultureand output variable; general health. Given the high correlation between network inputs and outputs as well as error rate obtained, ANFIS is proved a suitable model for predicting general health. The optimal model for the general health promotion is when the body culture is at medium level.
Keywords:
Language:
Persian
Published:
lranian Journal of Social Problems, Volume:8 Issue: 1, 2017
Pages:
233 to 251
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