Location of Repository

T.: Almost random projection machine

By Włodzisław Duch and Tomasz Maszczyk

Abstract

Abstract. Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generation and filtering of useful random projections has better biological justification, is faster, easier to train and may in practice solve nonseparable problems of higher complexity than typical feedforward neural networks. Estimation of confidence in network decisions is done by visualization of the number of nodes that agree with the final decision. Key words: Neural networks, learning, random projections

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.181.769
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.fizyka.umk.pl/publi... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.