In order to extract some deterministic components of cocoon filament size according to AIC Akaike information standard, the regression analysis and meaning of cocoon filament size are put forward, and the deterministic components are extracted from serial cocoon filaments and analyzed. The simulation experiment of on9 cocoons formed by determinism was carried out, and the experimental results were analyzed. As we all know, the order and co-factor of regression equation are selected near AIC to accurately describe the relationship between partial values and average values. This study is also beneficial to the series preprocessing of non-fixed time series. This paper introduces the series relationship ((golden size bending)) of cocoon filaments arranged according to size, and there are some interesting statistical problems, which have aroused the research of experts [12]. By measuring and studying the size of some cocoons, we can get the series data of the cocoon size. These data can be regarded as families of different lengths connected in series according to the trend and autocorrelation [3] which is an unfixed time series. After unifying the length of series, we can get a family of equal length [45]. In order to further study this type of time series, it is necessary to extract determinism (golden trend) and possible components. In order to describe it mathematically, the length of the fourth-order regression equation is used to describe the size series of cocoon filaments. Because this study did not analyze the possible components of series connection, the fourth-order regression equation can not fully describe the filament size in some cocoons, nor can it be used to simulate series connection. After that, the series relationship is learned by time series analysis. The deterministic and possible components are extracted from the sequence, and a step-by-step return model is proposed. The possible components are analyzed and simulated by someone with limited space, and good simulation results are obtained in time series [67]. There are two methods to extract deterministic components from a series, one is to demonstrate the length of the series linearly, and the other is to make the partial size of the series linearly regress.

Sorry, everything that can be translated has been translated! That's probably what it means! Excuse me!