The Faculty of Social Sciences, University of Tehran Journal of Social Problems of Iran 2008-8973 8 1 2017 08 23 Providing a Fuzzy Neural Network Model to Predict the General Health of Women Through Relationship Factors contributing to Sports Participation Motivation and Body Culture Providing a Fuzzy Neural Network Model to Predict the General Health of Women Through Relationship Factors contributing to Sports Participation Motivation and Body Culture 233 251 64141 10.22059/ijsp.2017.64141 FA Marjan Amiri-Moghaddam PhD Student, Department of Sociology of Sport, Faculty of Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran Bahram Ghadimi Associate Professor, Department of Sociology of Sport, Faculty of Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran Afshar Kabiri Assistant Professor, Department of Educational Sciences, Urmia University, Urmia, Iran Journal Article 2017 01 18 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. 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. https://ijsp.ut.ac.ir/article_64141_06c2751f311e479cd4c502d17d23a24b.pdf