151. Digital neural network system based in new concepts on the recall phase dynamics
- Author
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N. Avellana, J. C. Calderon, Jordi Carrabina, C. Perez, F. Lisa, Elena Valderrama, and F. Garrido
- Subjects
Quantitative Biology::Neurons and Cognition ,Artificial neural network ,Recall ,Computer science ,business.industry ,General Engineering ,Phase (waves) ,Neural network system ,Application-specific integrated circuit ,Phase dynamics ,Central unit ,Artificial intelligence ,business ,Electronic systems - Abstract
In this paper we present an electronic system designed to emulate neural networks. Two major restrictions are assumed: discrete synapses (+1,0,−1) and threshold-type neurons. Drawbacks given by restrictions are solved with a more complex learning algorithm that maps real valued configurations for synapses into bipolar ones. The central unit of the system is an ASIC designed in accordance with a new sequential dynamics, which is faster and with better recall characteristics. As a result, the system designed has a fast recall phase and a large number of neurons. A handwritten OCR system is being designed.
- Published
- 1992