Multidimensional Sensor Data Fusion Processing System Based on Big Data
نویسندگان
چکیده
In order to process data fusion, the author proposes a multidimensional sensor fusion processing system based on big data. The discusses principle and basic steps of analyzes classification common methods fusion. Then, structure training DBN algorithm are emphatically expounded, experiments carried out randomly collected datasets through algorithm, validity is verified, evaluated. experimental results show that number hidden layers 100, nodes weight matrix 784 × 100 , learning rate 2, momentum 0.5, samples iteration 1 time. average reconstruction error obtained by MATLAB Deep Learn Toolbox 65.7798. Conclusion. method proposed can effectively
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ژورنال
عنوان ژورنال: Wireless Communications and Mobile Computing
سال: 2022
ISSN: ['1530-8669', '1530-8677']
DOI: https://doi.org/10.1155/2022/4388997