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A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction.

R. Parviz, N. Mozayani, and M. Motlagh. SMC, page 2133-2137. IEEE, (2008)

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A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction.R. Parviz, N. Mozayani, and M. Motlagh. SMC, page 2133-2137. IEEE, (2008)Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction.R. Parviz, N. Mozayani, and M. Jahed-Motlagh. ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 798-807. Springer, (2008)A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.P. Khazaee, J. Bagherzadeh, Z. Niazkhani, and H. Pirnejad. I. J. Medical Informatics, (2018)Towards Realizing Benefits of Information Technology in Organ Transplant: A Review.P. Khazaee, H. Pirnejad, J. Bagherzadeh, and Z. Niazkhani. ICIMTH, volume 226 of Studies in Health Technology and Informatics, page 29-32. IOS Press, (2016)Predicting the function of transplanted kidney in long-term care processes: Application of a hybrid model.P. Khazaee, M. Bagherzade, Z. Niazkhani, and H. Pirnejad. Journal of Biomedical Informatics, (2019)The impact of health information technology on organ transplant care: A systematic review.Z. Niazkhani, H. Pirnejad, and P. Khazaee. I. J. Medical Informatics, (2017)

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A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction.

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A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction.