Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 508-511.doi: 10.11896/j.issn.1002-137X.2016.6A.120

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Improved Wavelet Neural Network Used for Prediction of Pollutant Emissions in Thermal Power Plants

SU Yin-jiao, SU Tie-xiong, WANG Da-zhen and MA Li-qiang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Wavelet neural network is a kind of neural network learning,and network structure is similar to the typical BP neural network. The function of the hidden layer is the wavelet basis function.The improved wavelet neural network has the obvious improvement in data prediction.The pollution problem of the power plant is related to the whole nationaleconomy and people’s livelihood.If we can apply wavelet neural network prediction ability in actual production process,it will help to promote national economic development,and improve people’s quality of life.

Key words: Wavelet neural network,Additional momentum item,Morlet functions,Pollutants,Predict

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