De-qiang Zhou

Work place: School of Information and Mathematics, Yangtze University, Jing zhou, 434023, China



Research Interests: Computer systems and computational processes, Computational Learning Theory, Computability Theory


Deqiang Zhou was born in 1975.He is a associate professor in the School of Information and Mathematics of Yangtze University of China interested in machine learning and wavelet analysis.. He received his from Hubei University of China in 2004.His research interest include machine learning theory, grey systems theory and complicated mathematical models. His articles are published by Power System Protection and Control, Applied Mathematics, a Journal of Chinese Universities, Power system Technology, and others.

Author Articles
Time Series Forecasting Model Based on Discrete Grey LS-SVM

By De-qiang Zhou

DOI:, Pub. Date: 8 Jan. 2015

The advantages and disadvantages of discrete GM(1,1) model and least squares support vector machine are analyzed respectively, this article proposes a new time series forecasting model of discrete grey least squares support vector machine. The new model adopts structural risk minimization principle, at the same time develops the advantages of accumulation generation in the grey forecasting method, weakens the effect of stochastic-disturbing factors in original sequence, and avoids the theoretical defects existing in the grey forecasting model. The simulation results show that the forecasting model is effective and reliable, and consolidates the advantage of the discrete GM(1,1) model and least squares support vector machine. It offers a new way to improve the time series forecasting accuracy.

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