The paper presents the optimized BP network algorithm based on PSO to predict software quality. In order to understand the connotation of software quality.

The paper predicted the relationship between metric data and quality factors with historical data by using the optimized BP network based on PSO. According to ...

Kewen Li, Jisong Kou, Lina Gong: Predicting Software Quality by Optimized BP Network Based on PSO. J. Comput. 6(1): 122-129 (2011). manage site settings.

Groundwater table often shows complex nonlinear characteristic. Back Propagation (BP) neural network is increasingly used to predict groundwater table.

Nov 15, 2022 · The PSO algorithm is a method for optimizing continuous nonlinear functions, by modifying adjustable parameters to make the error between the ...

Jul 30, 2021 · In this study, through experiments on the same platform with the same data, the PSO-BPNN model improves the accuracy and reduces the time cost, ...

The paper presents a method for predicting the quality of deposited layers based on a combination of particle swarm optimization and BP neural network. This ...

Experimental results show that the model has better prediction effect, and mean square error (MSE), root mean square error(RMSE), mean absolute error(MAE) value ...

The structure of a back propagation neural network was optimized by a particle swarm optimization (PSO) algorithm, and a back propagation neural network model ...

Nov 11, 2022 · In this study, an enhanced integrated learning technique of improved particle swarm optimization and BPNN (Back Propagation Neural Network) is proposed.