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《Journal of Shenyang Institute of Aeronautcal Engineering》 2001-01
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Self-Adaptive Compression and Filter of Chromatographic Curve by Orthogonal Neural Network

LI Yi-bo SHA Ming  
This paper presents a new method of compression and filter for chromatographic curve by a orthogonal neural network. By adopting a non-iterative Givens learning algorithm, the new network learning algorithm can be learned rapidly and it can avoid false local minima and the initialization of weights and other parameters.This method has not only high compression ratio, but also has ability of adaptive filtering noise.
【Fund】: 辽宁自然科学基金项目
【CateGory Index】: TP183
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