Computer SciencePhilosophy

G. Huang

2015.5.15Cognitive Computation

DOI: 10.1007/s12559-015-9333-0

tlooto Summary

ELM theories manage to address the open problem which has puzzled the neural networks, machine learning and neuroscience communities for 60 years: whether hidden nodes/neurons need to be tuned in learning, and proved that in contrast to the common knowledge and conventional neural network learning tenets,hidden nodes/NEurons do not need to been iteratively tuned in wide types of neural networks and learning models.

Abstract

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Citation format

HUANG, G. What are extreme learning machines? Filling the gap between frank rosenblatt’s dream and john von neumann’s puzzle. Cognitive Computation, 2015, 7: 263–278.