Modeling Physical Effective Factors in Promoting Good Governance through Neural Network (MLP) - Case Study of Pedestrian Roads in District 12 of Tehran

With the advent of mankind in the era of modernity and, consequently, the formation of the industrial revolution, rapid changes occur in both the demographic and physical regions, and since the pace of these changes is not comparable to any of the prehistoric times, the physical body of humans With astonishing changes, one of these body substructures is the roadways in the city center, which are invaded by cars and a lively and lively space in the middle of the city. In spite of the authorities' knowledge and systematic and ongoing efforts to improve and recreate, none has led to satisfaction and revival. This article, taken from a research paper, is intended to be presented as a basis for the introduction and participation of the people, with the aim of presenting an introduction for organizing and Prioritization does not take any further steps in the future urban roadway. On the basis of this study, we aimed to evaluate and evaluate the effective factors (immunity, vitality, readability and penetration) on good governance (participation) rather than providing a selfmade questionnaire. Using the SPSS software, the data are analyzed and then, using the MLP neural network model, we process another process over the importance and relevance of the variables, which results in the two most variables of vitality and readability The importance of the participant variable can be deduced that the readability of vitality on participation has a more meaningful and effective effect on the quality of life and on the quality of life. Less affluent.