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An Improved BP Neural Network Algorithm Based on Structural Analysis of High-rise Buildings

Fahong Wu


In view of current main structural features of high-rise buildings and structural analysis model of high-rise buildings based on traditional BP neural network, this paper presents a dynamic neural network model. Based on the traditional BP neural network, this model provides dynamic merging and cutting rules, adjusts the weights based on momentum, and then introduces the adaptive learning mechanism, all of which improve the precision and the speed of the traditional algorithm. Simulation experiment results show that the dynamic BP neural network model of structure analysis is more accurate and faster than traditional ones.


structural analysis, dynamic BP neural network algorithm, weighting momentum, adaptive learning.

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