Proceedings of the Korean Society of Machine Tool Engineers Conference (한국공작기계학회:학술대회논문집)
- 2004.10a
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- Pages.345-351
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- 2004
Design and Performance Evaluation of a Neural Network based Adaptive Filter for Application of Digital Controller
디지털 제어기용 적응 신경망 필터의 설계 및 성능평가
Abstract
This Paper describes a nonlinear adaptive noise filter using neural network for digital controller system. Back-Propagation Learning Algorithm based MLP (Multi Layer Perceptron)is used an adaptive filters. In this paper. it assume that the noise of primary input in the adaptive noise canceller is not the same characteristic as that of the reference input. Experimental reaults show that the neural network base noise canceller outperforms the linear noise canceller. Especially to make noise cancel close to realtime, Primary input is divided by unit and each divided part is processed for very short time than all the processed data are unified to whole data.