Processing Method of Massive Edge Computing Data Based on LSTM Neural Network
The traditional massive edge computing data processing method directly compresses the massive edge computing data,but does not dynamically merge the massive edge computing data,so the processing effect is poor.Therefore,this paper proposes a massive edge computing data processing method based on LSTM neural network.This method dynamically merges massive edge computing data to provide more comprehensive and accurate information support for decision-making and application;Compress the merged data to improve processing efficiency;Finally,based on LSTM neural network,massive edge computing data are processed,and the experimental results show that the processing effect of this research method is better.
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