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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hee-Kyoung Park Seong-Gon Kong |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Electr. Eng., Soongsil Univ., Seoul, South Korea (Hee-Kyoung Park) |
| Abstract | Presents a neuro-fuzzy controller for adaptively cancelling noise in a duct. An adaptive noise cancelling system generates control sound pressure with the same amplitude and with opposite phase as the noise to be eliminated. Noise is generated from highly nonlinear systems and the noise characteristics vary significantly in time. This means nonadaptive noise cancelling systems do not cancel noise successfully. A neuro-fuzzy controller is trained with the backpropagation learning algorithm to optimize its parameters for adaptively cancelling noise. Simulation results show that the proposed adaptive noise cancelling system successfully cancelled noise. |
| Starting Page | 1465 |
| Ending Page | 1469 |
| File Size | 232539 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780354060 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.1999.790120 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-08-22 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control systems Adaptive systems Programmable control Adaptive control Noise cancellation Acoustic noise Noise generators Ducts Pressure control Noise level |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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