Abstract
Smart city is an advanced form of urban modernization and information technology, which is based on information and communication technology facilities, takes promoting social development, strengthening social management and enriching social life as its core tasks, and is mainly characterized by being more optimized, greener, more beneficial to the people and more sophisticated. This paper mainly studies the design of smart city data acquisition system based on artificial neural network BP algorithm. In this paper, the empirical formula and trial method are used to determine the number of hidden layers, the number of neural nodes in the hidden layer and the learning rate. Through analysis and comparison, the TANH function is finally determined as the activation function to complete the BP neural network model design. NET, VBA, Visual LISP, C++ are used as the main development languages to develop “Smart City Spatial Data Acquisition Subsystem”, “Construction Land Data Processing Subsystem”, “Public Facilities Survey Subsystem”, “Data Transformation Subsystem” and so on.
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Tao, X. (2022). Intelligent City Data Acquisition System Based on Artificial Neural Network BP Algorithm. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2021. Lecture Notes in Electrical Engineering, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-16-8052-6_91
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DOI: https://doi.org/10.1007/978-981-16-8052-6_91
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