대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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- Pages.397-399
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- 1994
신경회로망을 이용한 신호 자동식별기 구현 및 성능분석
On the Performance Analysis of an Automatic Neural Network Signal Classifier
- Yoon, Byung-Soo (Dept. of Electrical Engineering, Hanyang Univ.) ;
- Yang, Seong-Chul (Dept. of Electrical Engineering, Hanyang Univ.) ;
- Nam, Sang-Won (Dept. of Electrical Engineering, Hanyang Univ.) ;
- Oh, Won-Tcheon (Agency for Defense Development)
- 발행 : 1994.11.18
초록
In this paper a feature-based automatic neural network signal classifier is presented, where five neural network algorithms such as MLP, RBF, LVQ2, MLP-Tree and LVQ-Tree are combined in parallel to classifiy various signals from their features, based on the majority vote method. To demonstrate the performance and applicability of the proposed signal classifier, some test results for the classification of synthetic waveforms and power disturbances are provided.
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