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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