Application of artificial neural network method in predicting contemporary Iranian family relationships

Abstract

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.

Keywords

• artificial intelligence
• artificial neural network
• emotional relationships
• committed family
• failed family
• incompatible family
• broken family