2011
DOI: 10.1080/02665433.2011.599942
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Cited by 3 publications
(2 citation statements)
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“…Although RITNN has a certain suppression effect on the residual effects of cultural element data when dealing with multiple cultural elements, the number of cultural elements and pop song composition cultural elements is large, and if numerous measurement parameters are built into only 1 RITNN model, it will lead to a decrease in modelling accuracy; in addition, the number of high reliability measurement points in the field is very limited. In order to ensure the accuracy of reconstructed data in the case of multiple cultural elements occurring at the same time, this paper adopts the collaborative data reconstruction method of multiple RITNN models, grouping cultural elements of popular song composition through the analysis of the mechanistic relationship between parameters and the correlation of historical data, establishing multiple RITNN models [21][22][23], and dividing the model priorities according to the order of data reconstruction, series and parallel manner to form a complete data reconstruction module. e modelling process of the multi-RITNN model collaborative data reconstruction method is shown in Figure 2, where the first step is to establish a high reliability measurement point dataset, which only contains high reliability measurement point data in the initial state.…”
Section: Multiple Ritnn Model Data Reconstructionmentioning
confidence: 99%
“…Although RITNN has a certain suppression effect on the residual effects of cultural element data when dealing with multiple cultural elements, the number of cultural elements and pop song composition cultural elements is large, and if numerous measurement parameters are built into only 1 RITNN model, it will lead to a decrease in modelling accuracy; in addition, the number of high reliability measurement points in the field is very limited. In order to ensure the accuracy of reconstructed data in the case of multiple cultural elements occurring at the same time, this paper adopts the collaborative data reconstruction method of multiple RITNN models, grouping cultural elements of popular song composition through the analysis of the mechanistic relationship between parameters and the correlation of historical data, establishing multiple RITNN models [21][22][23], and dividing the model priorities according to the order of data reconstruction, series and parallel manner to form a complete data reconstruction module. e modelling process of the multi-RITNN model collaborative data reconstruction method is shown in Figure 2, where the first step is to establish a high reliability measurement point dataset, which only contains high reliability measurement point data in the initial state.…”
Section: Multiple Ritnn Model Data Reconstructionmentioning
confidence: 99%
“…In this paper, a boxand-line diagram method is used to determine outliers and a linear filling method is used to deal with missing values. Figure 2 shows the monthly average price of concrete C30 in a certain place from January 2016 to December 2019, and it is obvious that in May 2017, the price of concrete C30 was 520 RMB/m 3 , much higher than the rest of the monthly average price, which is an outlier [21,22]. This anomaly determination is quantified using a box line diagram of…”
Section: Calculation Of Indicator Weights Based On Hierarchicalmentioning
confidence: 99%