Based On Commercial Street Undergroundbp Neural Network Can Be Identified Studies

Today, China’s major cities for the development of underground commercial street were ground in full swing, but the underground mall can be identified poor personal experience to negative associations people make poor quality evaluation underground mall. Consumer research experience in the use of the underground mall-based character, holistic, subjective feelings and humane perspective of the consumer evaluation and research of underground commercial street, and make it a recognizable system for enhancing the attractiveness and underground commercial street reduce development risk is of great importance.This paper discusses the concepts and features can be identified in nature, borrow psychology, environmental vision theory, Gestalt psychology, architecture, urban design, and "city image" in the research methods of imagery characteristic of urban underground commercial street can identification of problem analysis and research, the influence of underground commercial pedestrian street can identify the factors of the formation of an overall evaluation of its recognition of the evaluation system can make analysis more specific, quantified, having evaluative. The artificial neural network system for the first time introduced to the underground commercial pedestrian street identifiability analysis and forecast, which will be present in the general public’s perception of the objective laws of the recessive form of quantitative research. And model, capable of underground commercial pedestrian street of the current and future recognizability make predictions.