원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Soft-sensor Methods
2.1. Extreme Learning Machine
2.2. ELM with Kernels
2.3. Particle Swarm Optimization (PSO)
3. Modeling of Soft-sensor Using ELM and PSO
3.1. Auxiliary Variable Selection
3.2. Modeling
3.3. Performance Criteria
4. Experiment Results and Discussion
4.1. Dataset Acquisiton
4.2. Model Validation
4.3. Comparison
5. Conclsuion
Acknowledgements
References
1. Introduction
2. Soft-sensor Methods
2.1. Extreme Learning Machine
2.2. ELM with Kernels
2.3. Particle Swarm Optimization (PSO)
3. Modeling of Soft-sensor Using ELM and PSO
3.1. Auxiliary Variable Selection
3.2. Modeling
3.3. Performance Criteria
4. Experiment Results and Discussion
4.1. Dataset Acquisiton
4.2. Model Validation
4.3. Comparison
5. Conclsuion
Acknowledgements
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보