An approach to the design of space-varying cellular neural networks for associative memories
1994
In this work a design of a space-varying cellular neural network (CNN) in order to behave as an associative memory is presented. To this purpose, a new class of space-varying cellular neural networks with a nonsymmetric interconnection structure is considered. A stability analysis is firstly carried out. Then, a learning algorithm, based on the relaxation method, is used to compute the feedback parameters of the considered network. Simulation tests are reported to confirm the validity of the suggested approach.
Keywords:
- Time delay neural network
- Bidirectional associative memory
- Deep learning
- Types of artificial neural networks
- Physical neural network
- Computer science
- Machine learning
- Autoassociative memory
- Cellular neural network
- Recurrent neural network
- Theoretical computer science
- Artificial intelligence
- Content-addressable memory
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