Radio-frequency electron paramagnetic resonance of phase interaction in composites
Abstract
The architecture associated with the Hopfield network can be utilized in the VLSI realization of several important engineering optimization functions for signal processing purposes. The properties of local minima in the energy function of Hopfield networks are investigated. A design technique to eliminate these local minima in the Hopfield neural-based analog-to-digital converter has been developed. Experimental data agree well with theoretical results in the output characteristics of the neural-based data converter.
- Publication:
-
IEEE Journal of Solid-State Circuits
- Pub Date:
- August 1989
- DOI:
- 10.1007/BF00614788
- Bibcode:
- 1989IJSSC..24.1129L
- Keywords:
-
- Analog To Digital Converters;
- Network Synthesis;
- Neural Nets;
- Very Large Scale Integration;
- Analog Data;
- Decision Making;
- Parallel Processing (Computers);
- Pulse Communication;
- Signal Processing;
- Electronics and Electrical Engineering