Parameter Estimation Method of Experimental Data Based on Grey Distance Measure

It is a new idea to use Grey theory to solve the parameter estimation problem of small sample data. However, in the calculation of grey distance measure, there exists the problem that the resolution coefficient is fixed, so the calculation result may not be optimal. To solve this problem, a new method to select the resolution coefficient is proposed. On this basis, an improved weight calculation method is proposed. Finally, the effectiveness of the proposed algorithm is verified by simulation, and the accuracy of parameter estimation can be improved.