2010 Fiscal Year Final Research Report
Active noise control technique using the neural network for ventilation openings of building
| Project/Area Number |
21760451
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Architectural environment/equipment
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| Research Institution | Kyushu University |
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Principal Investigator |
ANAI Ken Kyushu University, 大学院・人間環境学研究院, 助教 (10325467)
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| Project Period (FY) |
2009 – 2010
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| Keywords | アクティブ騒音制御 / 建物換気口 / ニューラルネットワーク |
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| Research Abstract |
Keeping silence in residences is important for comfortable living environment. Ventilation openings might be a bottleneck of sound insulation capability of exterior walls in the residence. In this study, new algorithm applying the neural networks was proposed for active control of the noise through the ventilation openings. By examinations using numerical simulations, ANC effects by the NN algorithm was compared to effects by LMS algorithm that was an orthodox method. The results demonstrated that the NN algorithm that had studied noise patterns repeatedly had higher performance than the LMS algorithm.
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