A recurrent dynamic network for associative recall

A model for recurrent artificial neural networks which can store any number of any prespecified patterns as energy local minima is presented. Therefore, all the prespecified patterns can be stored and recalled. Some examples are given to show how this model can be used in image recognition and assoc...

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Bibliographic Details
Main Authors: Hou, J., Salam, F.M.A.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Circuits
Computer networks
Electronic mail
Equations
Laboratories
Mathematical model
Neural network hardware
Neural networks
Neurons
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Summary:A model for recurrent artificial neural networks which can store any number of any prespecified patterns as energy local minima is presented. Therefore, all the prespecified patterns can be stored and recalled. Some examples are given to show how this model can be used in image recognition and association. Generalization of the energy function is discussed. Variations of this model are also investigated for performance improvement and potential hardware implementation.< >
DOI:10.1109/ICSYSE.1992.236950