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Type | Working Paper |
Scope | Discipline-based scholarship |
Title | Existence and Global Attractivity of Stable Solutions in Neural Networks |
Organization Unit | |
Authors |
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Language |
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Institution | University of Zurich |
Series Name | Working paper series / Institute for Empirical Research in Economics |
Number | No. 198 |
ISSN | 1424-0459 |
Date | 2004 |
Abstract Text | The present paper shows that a sufficient condition for the existence of a stable solution to an autoregressive neural network model is the continuity and boundedness of the activation function of the hidden units in the multi layer perceptron (MLP). In addition, uniqueness of a stable solution is ensured by global lipschitzness and some conditions on the parameters of the system. In this case, the stable value is globally stable and convergence of the learning process occurs at exponential rate. |
Official URL | http://www.econ.uzh.ch/wp.html |
PDF File | Download from ZORA |
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