Holdings: A Hybrid Neural Network-Based Improved PSO Algorithm for Gas Turbine Emissions Prediction

A Hybrid Neural Network-Based Improved PSO Algorithm for Gas Turbine Emissions Prediction

In gas-fired power plants, emissions may reduce turbine blade rotation, thus decreasing power output. This study proposes a hybrid model integrating the Feed forward Neural Network (FFNN) model and Particle Swarm Optimization (PSO) algorithm to predict gas emissions from natural gas power plants. Th...

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Bibliographic Details
Main Authors:	Yousif S.T., Ismail F.B., Al-Bazi A.
Other Authors:	57211393920
Format:	Article
Published:	John Wiley and Sons Inc 2025
Subjects:	Carbon monoxide Feedforward neural networks Forecasting Gas emissions Gas plants Learning algorithms Mean square error Nearest neighbor search Nitrogen oxides Particle swarm optimization (PSO) Random errors Turbomachine blades Accuracy measurements Emissions prediction Feed forward neural net works Feed forward neural network-based particle swarm optimization approach Hybrid model K-near neighbor Nearest-neighbour Network-based Particle swarm optimization approaches Prediction accuracy Gas turbines
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A Hybrid Neural Network-Based Improved PSO Algorithm for Gas Turbine Emissions Prediction

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