Special issue on extreme learning machine and deep learning networks

Excerpt

Welcome to this special issue of neural computing and applications on extreme learning machine (ELM) and deep learning networks (DLN). Since 1990s, ELM has been becoming a very important learning methodology for neural networks [1‐3]. ELM has integrated both machine learning and biological learning mechanisms to train neural networks to perform various tasks including pattern classification, decision making and system modelling in science and engineering [4‐6]. In recent years, the biological learning features of ELM have stimulated the researcher and engineers to combine ELM with many other learning structures such as DLN and Bayseian networks to perform complex big data processing in many areas [7‐10]. Viewing the rapid development of ELM theory and applications, we planned to organize this special issue a year ago for the readers and neural computing society to report the new ideas and innovations in both ELM and DLN areas. After rigorously reviewing all of received 60 papers on the basis of innovativeness and relevance for all NCA readers, we finally selected 21 high-quality papers for this special issue. The following is the brief introduction of these articles in this special issue. …