Hypercomplex extreme learning machine with its application in multispectral palmprint recognition

• Published in: PloS one Vol. 14; no. 4; p. e0209083
• Main Authors: Lu, Longbin, Zhang, Xinman, Xu, Xuebin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 15.04.2019; Public Library of Science (PLoS)
• Subjects: Adult; Algorithms; Artificial intelligence; Artificial neural networks; Biology and Life Sciences; Biometric identification; Biometrics; Biometry; Classification; Computer and Information Sciences; Dermatoglyphics; Downloading; Engineering and Technology; Feedforward; Female; Fourier transforms; Humans; Learning; Learning algorithms; Machine Learning; Male; Methods; Middle Aged; Musical groups; Neural networks; Neural Networks, Computer; Novels; Object recognition; Pattern recognition (Computers); Pattern Recognition, Automated - methods; Physical Sciences; Principal components analysis; Remote sensing; Research and Analysis Methods; Sensors; Source code; Spectral bands; Teaching methods; Theory; Young Adult; China

An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory gene...