Cited by 1,383Neural Networks and ApplicationsStochastic Gradient Optimization TechniquesMachine Learning and ELM

Neural networks and principal component analysis: Learning from examples without local minima

Baldi, Pierre, Hornik, Kurt·1989·Neural Networks

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Crossref · 10.1016/0893-6080(89)90014-2

Cites

16 of 16 references verified0 citation errors · 0 not checkable

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Authors
Baldi, P., & Hornik, K.
Affiliations
University of California San Diego (US)
Corresponding author
Baldi, Pierre
Venue
Neural Networks
Publisher
Elsevier BV
Published
1989-01
Volume
2
Issue
1
Pages
53-58
ISSN
0893-6080 (ISSN-L)
OpenAlex
W2078626246
Cited by
1,383
References
16
Citations by year
2026: 39 · 2025: 51 · 2024: 52 · 2023: 61 · 2022: 82 · 2021: 126 · 2020: 106 · 2019: 86 · 2018: 87 · 2017: 62 · 2016: 49 · 2015: 27 · 2014: 28 · 2013: 19 · 2012: 19
FWCI
19.82
Type
journal article
Language
en
Open access
closed
Locations
Neural Networks (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Stochastic Gradient Optimization Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
Keywords
feedforward neural networks, principal component analysis, saddle points, local minima, backpropagation, covariance matrix, training patterns, critical points

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