Wavelet basics and their applications to neural networks
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- Ashino Ryuichi
- Mathematical Sciences, Osaka Kyoiku University
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- Baba Norio
- Information Science, Osaka Kyoiku University
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- Morimoto Akira
- Information Science, Osaka Kyoiku University
Bibliographic Information
- Other Title
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- ウェーブレットの基礎理論とそのニューラルネットへの適用
- toward learning and adapting under nonstationary environment
- 動的環境における学習と適応を中心として
Abstract
A review on several kinds of time-frequency analyses including short-time Fourier transform and wavelet transform is given. Neural networks based on wavelets called wavelet networks or fuzzy wavenets are explained and an application of neural networks to a pre-processing design for multiwavelet filters is given. As a future problem, learning and adapting under nonstationary environment are discussed.
Journal
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- Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
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Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers SCI03 (0), 5501-5501, 2003
The Institute of Systems, Control and Information Engineers
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Details 詳細情報について
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- CRID
- 1390001205621620992
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- NII Article ID
- 130006981634
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed