Ancient cities have always had a fundamental difference from today's cities, a difference that was well felt in their body and overall structure, in such a way that they can be well distinguished from today's cities. This difference, which is itself influenced by economic, political, cultural and social conditions, has had more or less changes in the structure of cities, can represent two types of city growth. Organic growth is a continuous and clear growth that made the form subservient to its function, and in contrast to that, the dark and discrete form of the global cities of the modern era. This project has tried to answer the question of whether it is possible to use the characteristics and the way of formation of ancient cities in today's world by studying the shape of the city throughout the past history until today. Or at least, is it possible to achieve a favorable result from the integration of some characteristics of these cities with today's cities? Based on this, in this project, the form of cities from the past to the present during three historical periods before Islam, after Islam and the modern era, and on the other hand, limiting the issue to the way of establishing government centers in the central desert of Iran using the comparative method- Induction has been discussed according to the assumptions of the research. The results showed that the first and second hypotheses have worked more effectively in more unsuccessful experiments, and on the other hand, the third hypothesis has worked more colorfully in more successful experiments, and on the other hand, since the degree of realization of the third hypothesis in the experiment Kerman's success rate is 0.100 and in unsuccessful experiences it is 0. Perhaps this hypothesis can be considered as a relatively superior and preferable hypothesis to check the success rate of related projects.

Using urban growth and development modeling, it is possible to draw a development trend appropriate to the city's position according to environmental and natural factors and population attraction. The purpose of this study is to represent a model of urban development in Shushtar that can be used as a felicitous tool to analyze the complex processes of urban development. To achieve this goal, two databases consist of urban land use maps for educational, medical, habitation, etc and Landsat satellite images for major land uses such as rivers, barren areas, forests, etc were used by GIS and MATLAB software environment in three time periods 1991, 2004 and 2014. Existing urban land use maps were updated by using Landsat satellite imagery after digitization. Then the effective parameters in urban development were entered as inputs with the adaptive neuro-fuzzy inference algorithm (ANFIS). in order to evaluate the performance of the proposed method, training for 1991 and 2004 was performed. the result of urban development forecasting using the algorithm was compared with the current situation in 2014. The results are very close to reality and with an accuracy of 93.7%. The land use change map, which is the result of the change detection process, can be prepared based on multi-time remote sensing images and combined with urban user maps, and the relevant consequences examined. The use of intelligent algorithms in this research has allowed us to execute modeling with high accuracy. The results are satisfactory and this development was predicted for the coming years.