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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vai, M.M. Shuichi Wu Bin Li Prasad, S. |
| Copyright Year | 1963 |
| Abstract | Neural networks have been been developed into an alternative modeling approach for the microwave circuit-design process. In this paper, we describe a neural network-based microwave circuit-design approach that implements the solution-searching optimization routine by a modified neural network learning process. Both the development of a microwave circuit model and the searching of a design solution can thus take advantage of a hardware neural network processor, which is significantly faster than a software simulation. In addition, a systematic simulation-based approach to convert conventional circuit models into neural network models for this design process is described. The development of a heterojunction bipolar transistor (HBT) amplifier model and its applications are demonstrated. |
| Sponsorship | IEEE Microwave Theory and Techniques Society |
| Starting Page | 1492 |
| Ending Page | 1494 |
| Page Count | 3 |
| File Size | 82731 |
| File Format | |
| ISSN | 00189480 |
| Volume Number | 46 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Microwave circuits Neural networks Circuit simulation Predictive models Multi-layer neural network Neural network hardware Heterojunction bipolar transistors Application software Process design Computer networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Condensed Matter Physics Electrical and Electronic Engineering Radiation |
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