Intelligent perception and optimization method for function performance of urban functional area

The invention discloses an intelligent perception and optimization method for functional performance of urban functional areas, and belongs to the field of information retrieval. The method comprises the following steps: performing quantitative statistics on functional indexes of urban plaques according to a functional area clustering result; acquiring spontaneous geographic information data of each city patch, and judging a quality index through semantic recognition; performing simulation training based on the function indexes and the quality indexes of the urban plaques, and establishing a function quality prediction model of the urban functional areas by using a machine learning method; and judging whether the prediction model is consistent with the existing spontaneous geographic information evaluation index, if not, continuing model training, and if yes, outputting the prediction model. According to the method, functional area clustering is carried out based on POI data, simulation training is carried ou