| タイトル | Identification of aerospace acoustic sources using sparse distributed associative memory |
| 著者（英） | Scott, E. A.; Fuller, C. R.; O'Brien, W. F. |
| 著者所属（英） | Virginia Polytechnic Inst. and State Univ. |
| 発行日 | 1990-10-01 |
| 言語 | eng |
| 内容記述 | A pattern recognition system has been developed to classify five different aerospace acoustic sources. In this paper the performance of two new classifiers, an associative memory classifier and a neural network classifier, is compared to the performance of a previously designed system. Sources are classified using features calculated from the time and frequency domain. Each classifier undergoes a training period where it learns to classify sources correctly based on a set of known sources. After training the classifier is tested with unknown sources. Results show that over 96 percent of sources were identified correctly with the new associative memory classifier. The neural network classifier identified over 81 percent of the sources correctly. |
| NASA分類 | ACOUSTICS |
| レポートNO | 91A12505
AIAA PAPER 90-3992 |
| 権利 | Copyright |
|
