Robust training of microwave neural models

International Journal of RF and Microwave Computer-Aided Engineering

Volumn 12, Issue 1, 2002, Pages 109-124

  Devabhaktuni, Vijay Kumar ^a   Xi, Changgeng ^a   Wang, Fang ^a   Zhang, Qi Jun ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Computer aided design; Modeling; Neural networks; Optimization; Strip lines; Training algorithms

Indexed keywords

ALGORITHMS; COMPUTER AIDED DESIGN; COMPUTER SIMULATION; ITERATIVE METHODS; MATHEMATICAL MODELS; MICROSTRIP LINES; NEURAL NETWORKS; OPTIMIZATION;

ITERATIVE MULTISTAGE (IMS) METHOD;

MICROSTRIP DEVICES;

EID: 0036134893     PISSN: 10964290     EISSN: None     Source Type: Journal    
DOI: 10.1002/mmce.10016     Document Type: Article

References (30)

1. Knowledge-based neural models for microwave design
2. A hierarchical neural network approach to the development of a library of neural models for microwave design
3. EM-ANN models for microstrip vias and interconnects in dataset circuits
4. Development of knowledge based artificial neural network models for microwave components
5. Artificial neural networks for fast and accurate EM-CAD of microwave circuits
6. Modeling microwave devices and circuits for telecommunications system design
7. A neural network approach to the modeling of heterojunction bipolar transistors from S-parameter data
8. Neural network modeling approach to circuit optimization and statistical design
9. A neural network model for CAD and optimization of microwave filters
10. Automatic impedance matching with a neural network
11. Creating neural network based microwave circuit models for analysis and synthesis
12. Finite element CAD for microwave filters
13. A robust back propagation learning algorithm for function approximation
14. Noise robustness enhancement using fourth-order cumulants cost function
15. The cascade-correlation learning architecture
16. High order and multilayer perceptron initialization
17. Automatic feature determination using unsupervised neural networks
18. Dimensionality reduction by random mapping: Fast similarity computation for clustering
19. Learning internal representations by error propagation
20. Quasi-Newton methods and constraints
21. 1 optimization algorithm for design, modeling and diagnosis of networks
22. Robust nonlinear data fitting
23. Huber optimization of circuits: A robust approach
24. The Huber concept in device modeling, circuit diagnosis and design centering
25. Robust training of microwave neural models