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 ...
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 ...
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 ...