Hao Peng*, Qiao Li
Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 609-616, 2020, DOI:10.32604/iasc.2020.013939
Abstract This paper represents a neural network model for the Web page information
extraction based on the depth learning technology, and implements the model
algorithm using the TensorFlow system. We then complete a detailed
experimental analysis of the information extraction effect of Web pages on the
same website, then show statistics on the accuracy index of the page
information extraction, and optimize some parameters in the model according
to the experimental results. On the premise of achieving ideal experimental
results, an algorithm for migrating the model to the same pages of other
websites for information extraction is proposed, and the experimental… More >
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