Improvement of Judicature De-noising Algorithm and Optimization of Key Parameters

This paper improves Judicature De-noising Algorithm(JDNA) in intelligent mechanical ventilation bed system.The judicature process is induced into the de-noising disposal of time series in algorithm,which builds a new de-nosing algorithm.On this basis,this paper optimizes key parameters that affect de-noising effects: illegal factor,the number of data used to formulate noise regulation,the first i legislative data weight,the number of largest evidence data.Through improvements upon the algorithm,it is relatively loose for requirements applicable scope of handling signal sequences,wide for applicable scope,the forecasting effect is obvious,to achieve the ideal of the treatment effect.