A neural network for Euclidean distance minimization
- 1 January 1988
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 349-356 vol.2
- https://doi.org/10.1109/icnn.1988.23947
Abstract
An electronic neural network for the Euclidean distance minimization problem, implemented in VLSI-based hardware, is described. The convergence properties of the neural-network hardware are investigated and compared with computer simulation results. The neural network's ability to find the 'best' or a 'good' solution is quickly demonstrated. The effect of noise on the circuit dynamics and the convergence behavior of the neural network hardware is also examined.Keywords
This publication has 5 references indexed in Scilit:
- Electronic Implementation of Associative Memory Based on Neural Network ModelsIEEE Transactions on Systems, Man, and Cybernetics, 1987
- Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuitIEEE Transactions on Circuits and Systems, 1986
- “Neural” computation of decisions in optimization problemsBiological Cybernetics, 1985
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984
- Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences, 1982