Device and circuit-level modeling using neural networks with faster training based on network sparsity
- 1 January 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Microwave Theory and Techniques
- Vol. 45 (10) , 1696-1704
- https://doi.org/10.1109/22.641714
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Artificial neural networks for accurate microwave CAD applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Analysis and optimization of microwave circuits and devices using neural network modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Application of neural networks in circuit analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- EM-ANN models for microstrip vias and interconnects in dataset circuitsIEEE Transactions on Microwave Theory and Techniques, 1996
- A neural network modeling approach to circuit optimization and statistical designIEEE Transactions on Microwave Theory and Techniques, 1995
- Artificial neural networks in manufacturing: concepts, applications, and perspectivesIEEE Transactions on Components, Packaging, and Manufacturing Technology: Part A, 1994
- A neural network approach to topological via-minimization problemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1993
- Integrated physics-oriented statistical modeling, simulation, and optimization (MESFETs)IEEE Transactions on Microwave Theory and Techniques, 1992
- Efficient quadratic approximation for statistical designIEEE Transactions on Circuits and Systems, 1989
- A large-signal, analytic model for the GaAs MESFETIEEE Transactions on Microwave Theory and Techniques, 1988