Encyclopedia of the Sciences of Learning

2012 Edition
| Editors: Norbert M. Seel

Initial State Learning

Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-1428-6_537

Synonyms

Definition

The aim of initial state learning is to establish a learning mechanism, which can be modeled as a mapping \( M:x \to y \)

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References

  1. Carpenter, R. H. S. (2002). Neurophysioplogy. London: Hodder Arnold.Google Scholar
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  4. Maass, W., Natschlager, T., & Markram, H. (2002). Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Computations, 14, 2531–2560.CrossRefGoogle Scholar
  5. Spall, J. C. (2003). Introduction to stochastic search and optimization. Hoboken: Wiley-Interscience.CrossRefGoogle Scholar
  6. Xu, J.-X., & Tan, Y. (2003). Linear and nonlinear iterative learning control. Germany: Springer.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringNational University of SingaporeSingaporeSingapore