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As construction Industry is part of the complex non-linear system of the national economic development, the BP neural network of the artificial intelligence can to some extent deal with problems of the complex nonlinear system. Therefore, it has been widely applied to solving macroeconomic problems at present. The paper through systematically integrating econometrics with BP neural network establishes...
In this paper, BP and RBF models for evaluating the running reliability of communication networks is presented on the basis of artificial neural network. The applicability of the two neural networks are investigated to the reliability of communication networks system. The study shows that the model established by BP network has a good general ability and a slow impending speed, on the other hand,...
Aimed at the reparable characteristic of the vibratory roller, a method of recognition of the reliability model of the vibratory roller based on the BP neural network was proposed, by means of theory of artificial neural network with Matlab and reliability engineering theory. The result obtained from the testing shows recognition rate is satisfactory. The distribution model of the vibrator roller...
In order to obtain high efficiency and effectiveness in supply chain management, supply chain must have a high reliability as guarantee. Reliability has now become an important performance measure for evaluation supply chain safety, especially when considering changes in supply chain operation conditions. Based on the theory of systems reliable engineering, the paper firstly defines the concept of...
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