Determinación de características constructivas de un predio mediante el análisis de fachada por medio de una red neuronal artificial para una UPZ de Bogotá

Abstract

The development of artificial intelligence and the tools it proposes has meant a breakthrough in the advancement of new methodologies and technologies that have been applied in different fields and aspects of society that have led to a revolution in itself and thus in the cities and environments in which it is applied. Artificial neural networks are born in the area of artificial intelligence, evoking the biological structure of neural networks present in the brain, seeking that, through a previous learning, the system can adapt to the characteristics that the environment determines and can perform the proper analysis and processing of information to provide solutions to a problem. For this reason, the present study proposes to develop a methodology for property qualification and description, based on artificial neural networks using as a basis the variables and attributes that exist in the property card, which is used in the cadastral processes by a property recognizer, in order to optimize the recognition process by improving time, accuracy and reducing the existing subjectivity in the procedure.