Abstract
An intelligent decision guidance system which is composed of data collection, learning, optimization, and prediction is proposed in the paper. Built on the traditional relational database management system, the regression learning ability is incorporated. The Expectation Maximization Multi-Step Piecewise Surface Regression Learning (EMMPSR) algorithm is proposed to solve piecewise surface regression problem. The algorithm proves to outperform a few currently-used regression learning packages. Optimization and prediction are integrated to the system based on the learning outcome.
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Luo, J., Brodsky, A. (2011). Piecewise Surface Regression Modeling in Intelligent Decision Guidance System. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_23
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DOI: https://doi.org/10.1007/978-3-642-22194-1_23
Publisher Name: Springer, Berlin, Heidelberg
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