Research Institute of Hawzah and University; (Hawzah wa Dāneshgāh Research Institute) Methodology of Social Sciences and Humanities 1608-7070 28 111 2022 06 22 Application of artificial neural network method in predicting contemporary Iranian family relationships Application of artificial neural network method in predicting contemporary Iranian family relationships 79 100 1951 10.30471/mssh.2022.8106.2266 FA Majid Kafi Research Institute of Hawzah and University 0000000344270056 Seyyede Marziye Shoa Hashemi University of Religions and Denominations 0000-0002-7766-5129 Masoud Monjezi Tarbiat Modares University Seyed Mohsen Fattahi University of Religions and Religions Journal Article 2021 10 16 Virtual social networks play a very important role in social change, especially changes in the structural and emotional relationships of the family. But predicting these changes is very important today. But what method can be used to predict structural changes in the family? This study intends to introduce one of these methods, which is a subset of artificial intelligence, called artificial neural network and as an example to show its effectiveness in predicting the relationships of families affected by virtual social networks. Therefore, the research question is formulated in such a way that by what method or methods can the consequences of the impact of virtual social networks on family relationships be predicted? Since this research is a quantitative research, data collection was done by a questionnaire and the research model was operational. The research model is a fuzzy field statistical model. The result of the research is the prediction of four types of committed, unsuccessful, incompatible and broken families, which were shown on the fuzzy spectrum as follows: Committed family: 75 to 100%; Unsuccessful family: 50 to 75%; Incompatible family 25 to 50 percent and broken family 0 to 25 percent. Virtual social networks play a very important role in social change, especially changes in the structural and emotional relationships of the family. But predicting these changes is very important today. But what method can be used to predict structural changes in the family? This study intends to introduce one of these methods, which is a subset of artificial intelligence, called artificial neural network and as an example to show its effectiveness in predicting the relationships of families affected by virtual social networks. Therefore, the research question is formulated in such a way that by what method or methods can the consequences of the impact of virtual social networks on family relationships be predicted? Since this research is a quantitative research, data collection was done by a questionnaire and the research model was operational. The research model is a fuzzy field statistical model. The result of the research is the prediction of four types of committed, unsuccessful, incompatible and broken families, which were shown on the fuzzy spectrum as follows: Committed family: 75 to 100%; Unsuccessful family: 50 to 75%; Incompatible family 25 to 50 percent and broken family 0 to 25 percent. https://method.rihu.ac.ir/article_1951_f7f1192fe8a7cbcc743cf237345e5f50.pdf