Analysis of Optimal Design of Building Water Supply and Drainage System
In order to further improve the design quality of water supply and drainage of building engineering and further promote the economic construction of urban buildings,this paper combines the BP network with the design optimization of water supply and drainage of building engi-neering,and analyzes the optimization method of water supply and drainage design in detail.Firstly,BP neural network is used to build an ar-tificial intelligence algorithm model,then particle swarm optimization is used to optimize BP neural network to improve the convergence accura-cy and network generalization of the model,and the advantages of the improved BP neural network are compared.Finally,the established neu-ral network model is used to predict and evaluate the design quality of the actual case.According to the predicted results,the design content is further optimized.The results show that the optimized BP neural network can improve the quality of water supply and drainage design of build-ing engineering,and has certain practical significance for improving the quality of water supply and drainage design.
Water supply and drainageArtificial intelligenceNeural networkOptimize
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