Computer technology of multisensor data fusion based on FWA–BP network
نویسندگان
چکیده
Abstract Due to the diversity and complexity of data information, traditional fusion methods cannot effectively fuse multidimensional data, which affects effective application data. To achieve accurate efficient this experiment used back propagation (BP) neural network fireworks algorithm (FWA) establish FWA–BP processing model, a case study PM 2.5 concentration prediction was carried out by using model. In results, trend between curve real basically consistent, deviation less than 10. The average mean absolute error root square model in different samples were 3.7 4.3%, respectively. correlation coefficient R value 0.963, is higher other models. results showed that could continuously optimize when predicting concentration, so as avoid falling into local optimum prematurely. At same time, accuracy better with improvement predicted value, means, computer technology multisensor fusion, method can be applied better.
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ژورنال
عنوان ژورنال: Journal of intelligent systems
سال: 2023
ISSN: ['2191-026X', '0334-1860']
DOI: https://doi.org/10.1515/jisys-2022-0278