Stacked autoencoder based deep random vector functional link neural network for classification

• المؤلفون الرئيسيون: Katuwal, Rakesh, Suganthan, Ponnuthurai Nagaratnam
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Random Vector Functional Link (RVFL); Deep RVFL
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/139678
• المؤسسة: Nanyang Technological University

Extreme learning machine (ELM), which can be viewed as a variant of Random Vector Functional Link (RVFL) network without the input–output direct connections, has been extensively used to create multi-layer (deep) neural networks. Such networks employ randomization based autoencoders (AE) for unsuper...