Frontiers

Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM

Introduction: Attention classification based on EEG signals is crucial for brain-computer interface (BCI) applications. However, noise interference and real-time signal fluctuations hinder accuracy, ...
IEEE

Robust Fault-Aware Extreme Learning Machine Based on Maximum Correntropy

Abstract: Extreme learning machine (ELM) is an effective and efficient neural model for universal approximation. However, its practical performance can degrade due to weight noise, node faults, and ...
GitHub

Classification-of-Hand-Posture-Analysis-Using-a-V-ELM

Pada penelitian yang dilakukan oleh Cao et al (2012), disebutkan bahwa ELM biasa masih terdapat kesalahan pada sampel yang dekat dengan batas klasifikasi antar kelas. Kemungkinan terjadi kesalahan ...
IEEE

A Minimum Error Increment ELM Algorithm Based on Catch Fish Optimization Algorithm for Power Load Forecasting

Abstract: Power load forecasting constitutes a pivotal component within the framework of power system planning and scheduling. In conventional ELM models employed for power load forecasting, the ...