Abstract Siamese network plays an important role in many artificial intelligence domains, but there requires more exploration of applying structure to graph neural network. This paper proposes a novel framework that incorporates into Graph Neural Network (Siam-GNN). We use DropEdge as augmentation technique generate new graphs. Besides, the strategy constructing network’s paired inputs is also ...

more than 30% of iran's land is formed from mountainous areas. so each year, landslides cause damages to structures, residential areas and forests, creating sedimentation, muddy floods and finally deposit the sediments in reservoir dams. therefore, for preventing of this damages and expressing the sensitivity rate of hillslopes, landslide hazard zonation is considered in prone areas. the p...

â  abstract: in this paper, artificial neural network (ann) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. the actual input-output data of the system were measured in order to be used for system identification based on root mean square error (rmse) minimization approach. it was shown that the designed recurrent neural network is able to pr...

‎linear semi-infinite programming problem is an important class of optimization problems which deals with infinite constraints‎. ‎in this paper‎, ‎to solve this problem‎, ‎we combine a discretization method and a neural network method‎. ‎by a simple discretization of the infinite constraints,we convert the linear semi-infinite programming problem into linear programming problem‎. ‎then‎, ‎we use...

modelling and forecasting stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. this nonlinearity affects the efficiency of the price characteristics. using an artificial neural network (ann) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

sustainability of water supply networks should be based on the risks of water hammer phenomenon. the purpose of this study is to provide a new approach to the analysis of water hammer phenomenon in the water supply network. by conventional methods, the damage because of water hammer is estimated based on the maximum pressure at nodes. however, during this phenomenon continuation and changing of...

doing centralized and coherent activities between governmental agencies is essential at any level. creating suitable institutional structure for appropriate solutions of policy problem in natural resources at multiple levels is possible using application of network governance. the aim of this paper is institutional network analysis with co-management of zagros dry forests in regional (county) l...

a neural network is developed for the determination of leaky confined aquifer parameters. leakage into the aquifer takes place from the storage in the confining aquitard. the network is trained for the well function of leaky confined aquifers by the back propagation technique and adopting the levenberg–marquardt optimization algorithm. by applying the principal component analysis (pca) on the a...