Research Catalog

Learning with recurrent neural networks

Title
Learning with recurrent neural networks / Barbara Hammer.
Author
Hammer, Barbara, 1970-
Publication
London ; New York : Springer, ©2000.

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Details

Description
x, 148 pages : illustrations; 24 cm
Series Statement
Lecture notes in control and information sciences ; 254
Uniform Title
Lecture notes in control and information sciences ; 254.
Subject
  • Neural networks (Computer science)
  • Maschinelles Lernen
  • NP-vollständiges Problem
  • Neuronales Netz
  • Rekursives neuronales Netz
  • Neurale netwerken
  • NEURAL NETS
  • COMPUTER NETWORKS
  • COMPUTERS
  • LEARNING
  • Control theory
  • Réseaux neuronaux (Informatique)
Bibliography (note)
  • Includes bibliographical references and index.
Contents
1. Introduction -- 2. Recurrent and Folding Networks. 2.1. Definitions. 2.2. Training. 2.3. Background. 2.4. Applications -- 3. Approximation Ability. 3.1. Foundations. 3.2. Approximation in Probability. 3.3. Approximation in the Maximum Norm. 3.4. Discussion and Open Questions -- 4. Learnability. 4.1. The Learning Scenario. 4.2. PAC Learnability. 4.3. Bounds on the VC-Dimension of Folding Networks. 4.4. Consequences for Learnability. 4.5. Lower Bounds for the LRAAM. 4.6. Discussion and Open Questions -- 5. Complexity. 5.1. The Loading Problem. 5.2. The Perceptron Case. 5.3. The Sigmoidal Case. 5.4. Discussion and Open Questions -- 6. Conclusion.
ISBN
  • 185233343X
  • 9781852333430
LCCN
00034424
OCLC
  • ocm44013868
  • 44013868
  • SCSB-9175994
Owning Institutions
Princeton University Library