Title

CAM-based ASOCS implementation

Document Type

Conference Proceeding

Date of Original Version

12-1-1994

Abstract

We describe an implementation of Adaptive Self-Organizing Concurrent System (ASOCS) using Content Addressable Memory (CAM). ASOCS is an artificial neural network with supervised on-line learning trained by incrementally introduced boolean propositional logic rules or instances. Words stored in CAM represent modified instances after they are processed by ASOCS to ensure consistency and minimality of the entire collection of instances. CAM permits fast training and execution. Main advantages of our implementation are simplicity, scalability to handle wider input and output vectors, ability to preset the network structure in advance based on software simulation.

Publication Title

IEEE International Conference on Neural Networks - Conference Proceedings

Volume

4

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