A Framework based on Geo-Information Neural System (GINS) for Predicting Remaining Life of Heritage Buildings Assets
Preservation of cultural heritage of a community is essential to its identity and its transmission to future generations. Some prevention methods have been introduced for the preservation of cultural heritages such as buildings, monuments, structures, sites. These are based on basic principles and methodologies which are developed by experts from different areas. The main objective of this study is to predict remaining life for heritage buildings through study the influence different geographic factors. These factors may be traffic, air pollution and destructive events that causing heavy damage like earthquakes, fire or war etc. All these factors threaten and destroy the heritage buildings and thus reduce its life.