Anzeige
Erschienen in:
2006 | OriginalPaper | Buchkapitel
Design on Supervised / Unsupervised Learning Reconfigurable Digital Neural Network Structure
verfasst von : In Gab Yu, Yong Min Lee, Seong Won Yeo, Chong Ho Lee
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We propose a reconfigurable neural network structure which has capability to process supervised or unsupervised learning algorithm computation. The proposed structure is based on modular structure which can configure artificial neural network architecture flexibly. Main processing unit of the proposed structure is designed to obtain flexibility of its internal structure by specific instructions. Therefore it is possible to configure MLP (Multi-Layer Perceptron) with back-propagation for alphabet recognition and parallel SOM for impulse noise detection problem. The performance comparison with the matlab simulation shows its value in the aspects of reliability.