Research on Dual Extreme Learning Machine Based on Residual Structure and its application to process modeling
Author:
Affiliation:
1. Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10056096.pdf?arnumber=10056096
Reference20 articles.
1. Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification
2. Forecasting PM2.5 Concentration Using Spatio-Temporal Extreme Learning Machine
3. Estimation of complex residual errors of calibrated two-port vector network analyzer
4. Sparse Extreme Learning Machine for Classification
5. Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network;tian;Industrial & Engineering Chemistry Research,2020
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