The development of intelligent building is based on its own perception and recognition functions to acquire and process the information of the space environment inside the building and the external world and other resources. This paper is based on the theory of neural network. First, the development status and trend of artificial intelligence at home and abroad are introduced. Secondly, the existing face recognition problems are analyzed, and a new improved neuron mapping method is proposed. Then, a set of face recognition system experiment scheme is designed, which is verified using MATLAB, and its performance is significantly improved through simulation experiments with testers. The experimental results show that the recognition accuracy of the face recognition system based on neural network algorithm is more than 90%. This shows that the recognition rate of the system meets the needs of users.

Wencheng Li. Face Recognition System in Intelligent Building Based on Neural Network. International Journal of Neural Network (2020), Vol. 1, Issue 1: 9-16. https://doi.org/10.38007/NN.2020.010102.

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