Based on rough set theory, a multilayer back propagation neural network (BPNN) whose parameters will be trained and optimized by particle swarm optimization ...
Abstract— Based on rough set theory, a multilayer back propagation neural network (BPNN) whose parameters will be trained and optimized by particle swarm ...
The paper gives a BP neural network (BPNN) prediction model of the ambient air quality based on rough set theory. We make first the reduction of monitoring data ...
Based on rough set theory, a multilayer back propagation neural network (BPNN) whose parameters will be trained and optimized by particle swarm optimization ...
Fingerprint. Dive into the research topics of 'A rough set based PSO-BPNN model for air pollution forecasting'. Together they form a unique fingerprint.
Based on rough set theory, a multilayer back propagation neural network (BPNN) whose parameters will be trained and optimized by particle swarm optimization ...
The paper gives a BP neural network (BPNN) prediction model of the ambient air quality based on rough set theory. We make first the reduction of monitoring ...
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Considering the BPNN-PSO algorithm, the BPNN model is used to predict the indoor CO2 concentration, and the PSO algorithm enhances the predictive accuracy of ...
Missing: Rough | Show results with:Rough
A Novel Back Propagation Neural Network Optimized by Rough Set ...
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Dec 4, 2021 · In this model, firstly, the rough set method is used to determine the evaluation indexes of the remanufacturing service provider, and the BPNN ...
Missing: Forecasting. | Show results with:Forecasting.
A Rough Set Based PSO-BPNN Model for Air Pollution Forecasting pp. 357-361 ... Knowledge Acquisition Approach Based on Rough Set and Artificial Neural Network in ...