書誌事項
- タイトル別名
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- A Noise Reduction Filter Constituted by Sandglass Type Neural Network
- スナドケイガタ ニューラル ネットワーク オ モチイタ ザツオン ジョキョ フ
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The multilayer perceptron called Sandglass type Neural Network (SNN) has the same number of units in input layer and output layer and has less units in hidden layer than units both in input layer and output layer. In this paper we clarified the properties of a noise reduction filter using the SNN. The properties were derived basically by use of the result that the output signal of the SNN could be given by Karhunen-Loeve expansion of an input data matrix. Here, we evaluated the improvement value of signal to noise ratio for the optimum number of hidden units. The noise reduction filter was assured to be effective and stable by the computer experiments using sinusoidal signal corrupted by white noise.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 117 (10), 1498-1505, 1997
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679584363136
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- NII論文ID
- 130006843576
- 10004162939
- 10002811942
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4303602
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