Abstract
The difficulties of learning in multilayered networks of computational units has limited the use of connectionist systems in complex domains. This dissertation elucidates the issues of learning in a network's hidden units, and reviews methods for addressing these issues that have been developed through the years. Issues of learning in hidden units are shown to be analogous to learning issues for multilayer systems employing symbolic representations. Comparisons of
Keywords
ConnectionismHeuristicsReinforcement learningArtificial intelligenceComputer scienceMachine learningArtificial neural networkInstance-based learningUnsupervised learning
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Publication Info
- Year
- 1986
- Type
- book
- Citations
- 119
- Access
- Closed
External Links
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Cite This
Charles W. Anderson
(1986).
Learning and Problem Solving with Multilayer Connectionist Systems.
.