id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-15457	Zhang, Zhikui; Wu, Lina	Research on Continuous Pipeline Life Prediction Method Based on Fully Connected Neural Network	2023	5	.pdf	application/pdf	2536	113	53	Neural network prediction results for samples #8 and #12 As can be seen from Figure 6, the two neural networks do 15 experiments under the conditions of the same provision of training samples and experimental strategies, the test results of FCNN-GRU's network are stable, while the test results of the BP neural network fluctuate up and down around the experimental values, which indicates that the overall stability of the FCNN-GRU network is better than that of the BP neural network, and thus the FCNN-GRU neural network has good accuracy and generalization FCNN neural networks have the advantages of weight sharing and local awareness, but FCNN has some disadvantages in dealing with time series data, while gated recurrent unit (GRU) can deal with the problem of insufficient dependence on long distance of time series. Data set processing The dataset used for the experiments is derived from the results of continuous pipeline fatigue tests in literature	cache/ajst-15457.pdf	txt/ajst-15457.txt