A parameter optimization method based on relevance measurement in a prediction system

A parameter optimization method based on relevance measurement in a prediction system is proposed. Meaning of dependency in parameter optimization is analyzed and reference standards of parameter optimization are proposed. This method is used in BP neural network to select the input parameter in a residual life prediction system of rechargeable batteries. The case study shows a good effect on initial parameter selection in a prediction system.