Its basic theory is moving least squares method.

Parameter estimation as minimization - intro to method of least squares, introduction to probability theory, conditional and joint probabilities, statistical independence.

Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.