Abstract
A novel three-layer neural network with knowledge-based neurons in hidden layer (NNKBN) has been applied to model the crossover discontinuities in stripline circuits. The NNKBN model is electro-magnetically developed with a set of data that are produced by the full-wave finite-difference-time-domain method. Numerical experiments show that the NNKBN model has many advantages over the conventional multilayer perceptron model.
| Original language | English |
|---|---|
| Pages (from-to) | 107-109 |
| Journal | Microwave and Optical Technology Letters |
| Volume | 34 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 20 May 2002 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Crossover discontinuity
- Knowledge-based neuron
- Neural network
- Stripline
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