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- W2365762012 abstract "In the research and application of Wireless Sensor Networks (WSNs), the use of data fusion to improve energy efficiency is an important direction. Due to the fact that BP Neural Network can be used to approximate a curve unlimitedly, we use it for data fusion in WSNs, and then send the weight and threshold rather than the raw data monitored from sensors to the sink, at the same time, using the weight and threshold in the last fitting as the input of the new fitting, the number of Neural Network training steps can be reduced greatly. Simulation experiments show that the proposed scheme can be effectively reduce data transmissions, so as to achieve energy efficiency in WSNs." @default.
- W2365762012 created "2016-06-24" @default.
- W2365762012 creator A5064437214 @default.
- W2365762012 date "2009-01-01" @default.
- W2365762012 modified "2023-09-28" @default.
- W2365762012 title "Data fusion in wireless sensor networks using BP neural network" @default.
- W2365762012 hasPublicationYear "2009" @default.
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