Application of artificial neural network models to linear and nonlinear RF circuit modeling

International Journal of RF and Microwave Computer-Aided Engineering

Volumn 11, Issue 4, 2001, Pages 231-247

  Suntives, A ^a   Hossain, M S ^a   Ma, J ^a   Mittra, R ^a,b   Veremey, V ^a  

^a Electromagnetic Communication   (United States)

^b Xpedion Design Systems Inc   (United States)

Author keywords

Artificial neural networks; Genetic algorithm; Linear and nonlinear circuit modeling

Indexed keywords

AMPLIFIERS (ELECTRONIC); COMPUTER SIMULATION; GENETIC ALGORITHMS; MIXER CIRCUITS; NEURAL NETWORKS; VARIABLE FREQUENCY OSCILLATORS;

LINEAR CIRCUIT MODELING; NONLINEAR CIRCUIT MODELING; WIRELESS SYSTEM;

EQUIVALENT CIRCUITS;

EID: 0035397541     PISSN: 10964290     EISSN: None     Source Type: Journal    
DOI: 10.1002/mmce.1028     Document Type: Article

References (13)

1. Development of knowledge based artificial neural network models for microwave components
2. Microstrip discontinuity modeling
3. Extraction of the lumped elements for the microstrip discontinuity's equivalent circuit
4. Derivation of equivalent circuits of microwave structures using numerical techniques
5. A systematic approach to extracting lumped circuit parameters of microstrip discontinuities
6. A systematic approach for extracting lumped circuit parameters for microstrip discontinuities from their S-parameter characteristics
7. The use of artificial neural networks in nonlinear microwave devices and circuit modeling: An application to telecommunication system design
8. Envelope transient analysis: A new method for the transient and steady state analysis of microwave communication circuits and systems