Layered Neural Networks with Gaussian Hidden Units as Universal Approximations

• Eric J. Hartman

  Microelectronics and Computer Technology Corp. (MCC), 3500 West Balcones Center Drive, Austin, TX 78759-6509 USA

• James D. Keeler

  Microelectronics and Computer Technology Corp. (MCC), 3500 West Balcones Center Drive, Austin, TX 78759-6509 USA

• Jacek M. Kowalski

  Department of Physics, University of North Texas, P.O. Box 5368, Denton, TX 76203-5368 USA

抄録

A neural network with a single layer of hidden units of gaussian type is proved to be a universal approximator for real-valued maps defined on convex, compact sets of R n .

収録刊行物

• Neural Computation

  Neural Computation 2 (2), 210-215, 1990-06

  MIT Press - Journals

キーワード

• Cognitive Neuroscience
• Arts and Humanities (miscellaneous)

詳細情報

• CRID: 1361418521347914240
• NII論文ID: 30035678227
• DOI: 10.1162/neco.1990.2.2.210
• ISSN: 1530888X
• ISSN: 08997667
• Web Site: https://www.mitpressjournals.org/doi/pdf/10.1162/neco.1990.2.2.210
• データソース種別:
  • Crossref
  • CiNii Articles