... dataset and the source location is then established through artificial neural network. Finally, a rapid locating method for gas leakage is built. The results show that the simulation accuracy of the diffusion area predicted by the current multi-scale dispersion model with considering the influence...

... consuming. Artificial neural networks (ANNs) hold the promise of rapid prediction of burst pressure for a wide range of PV materials and geometries, including pipelines with defects such as corrosion. This paper demonstrates ANNs designed and trained to accurately predict the burst pressure of both thick...

... Structural Component (NSC) of an industrial plant. The proposed method, which aims to solve some critical issues associated to the traditional risk assessment methodology, has the follow main advantages: (i) reduction of computational time by means an Artificial Neural Network (ANN) surrogate model; (ii...

... by introducing an artificial neural network (ANN), activation functions and learning algorithm for the network to learn and make predictions. Three ANN models were developed for predicting the burst strength of defect-free pipelines. Model 1 has one input variable and one hidden layer with three neurons; Model...

... by regression analysis assuming predefined probability functions, like the log-normal distribution, without prior information on the real probability distribution. To overcome these problems, the artificial neural network (ANN) technique is used for the development of structural seismic fragility curves...

... to simplify the strength as a function of loading rate only, and then determine it using the best curve-fitting approach. In contrast, the machine learning method, based on an artificial neural network with built-in learning functions and algorithms, can determine a multi-variable function of dynamic strength...

... dynamic functional reliability of components into system reliability evaluation. To reflect the state transition process of repairable components and their impact on system reliability, the Markov model is introduced at system level. In order to improve the calculation speed, artificial neural network...

... mathematics, grey correlation analysis theory, and the artificial neural network technique. After establishing integrity evaluating indexes, fuzzy analysis is used to quantify and classify pipeline integrity, and grey correlation analysis to screen key influence indicators. Then a comprehensive predictive...