Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction
- 31 May 1995
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 8 (1) , 7-41
- https://doi.org/10.1016/0925-2312(94)e0063-w
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- A massively parallel architecture for a self-organizing neural pattern recognition machinePublished by Elsevier ,2005
- Maximum entropy signal reconstruction with neural networksIEEE Transactions on Neural Networks, 1992
- Neural networks for solving systems of linear equations and related problemsIEEE Transactions on Circuits and Systems I: Regular Papers, 1992
- Switched‐capacitor neural networks for differential optimizationInternational Journal of Circuit Theory and Applications, 1991
- Electronic 'neural' net algorithm for maximum entropy solutions of ill-posed problemsIEEE Transactions on Circuits and Systems, 1989
- Practical design and analysis of a simple 'neural' optimization circuitIEEE Transactions on Circuits and Systems, 1989
- Image restoration using a neural networkIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Neural networks for nonlinear programmingIEEE Transactions on Circuits and Systems, 1988
- Nonlinear neural networks: Principles, mechanisms, and architecturesNeural Networks, 1988
- Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuitIEEE Transactions on Circuits and Systems, 1986