GAO Li-juan, LIU Yun and ZHAO Ling. Feedback prediction analysis of two-way data mining[J]. Journal of Light Industry, 2011, 26(6): 80-82. doi: 10.3969/j.issn.1004-1478.2011.06.021
Citation:
GAO Li-juan, LIU Yun and ZHAO Ling. Feedback prediction analysis of two-way data mining[J]. Journal of Light Industry, 2011, 26(6): 80-82.
doi:
10.3969/j.issn.1004-1478.2011.06.021
Feedback prediction analysis of two-way data mining
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Available Online:
2011-11-15
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Abstract
Aiming at the problem that data mining prediction model can only make simplex forecast and not respond to the accuracy of forecast analysis,in order to forecast future trends,a feedback predictive model was put forward based on combined correlation model and LMS regression model,and minimum mean square algorithm was used to verify accuracy of the model.The simulation results showed that this model has high accuracy in prediction for mid and long-term
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Proportional views
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