4.1 Article

Effects of misrepresentative length samples on individual growth and stock condition estimates

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Article Robotics

An improved Kalman Particle swarm optimization for modeling and optimizing of boiler combustion characteristics

Jing Liang et al.

Summary: With the rapid development of the national economy, the demand for electricity is increasing. The combustion of coal has led to serious environmental pollution, making it significant to improve energy conversion efficiency and reduce pollutant emissions. In this paper, an extreme learning machine model based on improved Kalman particle swarm optimization (ELM-IKPSO) is proposed for boiler combustion modeling. Multi-objective optimization is also performed on the established model.

ROBOTICA (2023)

Article Automation & Control Systems

Integration of continuous restricted Boltzmann machine and SVR in NOx emissions prediction of a tangential firing boiler

Wei Fan et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)

Article Engineering, Chemical

Modeling of the Boiler NOx Emission with a Data Driven Algorithm

Zhenhao Tang et al.

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (2018)