Author:
Kong Weiwei,Yu Jia,Yang Jia,Tian Tao
Abstract
Abstract
In order to solve the potential safety hazard of long-distance oil and gas pipelines, an intelligent early morning warning model is constructed and simulated based on probabilistic neural network in this paper. The backpropagation (BP) networks and the probabilistic neural networks (PNNs) are used to process the collected abnormal data and build the early warning model. The early warning model is simulated for its accuracy in the computer and its feasibility is verified. The intelligent early warning model is built, preparing the groundwork for the subsequent generalization and application.
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