the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.

there have been several efforts in the literature to extract as much information as possible from the financial networks. most of the research has been concerned about the hierarchical structures, clustering, topology and also the behavior of the market network; but not a notable work on the network filtration exists. this paper proposes a stock market filtering model using the correlation - ba...

scientific communications network is presented in, sociology of science. and we can use steven's evaluative bibliometrics to map it. in citation network approach, scientist's communication behavior is predicted through their citation behavior. in this paper, first, concepts such as sociology of science, scientific community, scientific communications and its kinds are described. two k...

in this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. experimental data was divided into two parts (70% for training and 30% for testing). optimal configuration of the network was obtained with minimization of prediction error on testing data. the accuracy of our proposed model was compared with four well-known empirical equations. the arti...

one dimension approach for management has been resulted in many challenges in order to sustainable policy. network governance and ultra-structure insight implication could remedy some of challenges of sustainable development. the aim of this paper is analysis of institutional network with co-management of sorkheh hesar national park in tehran province. quantitative approaches are used for this ...

multilayer bach propagation neural networks have been considered by researchers. despite their outstanding success in managing contact between input and output, they have had several drawbacks. for example the time needed for the training of these neural networks is long, and some times not to be teachable. the reason for this long time of teaching is due to the selection unsuitable network par...

land- phone, like mobile, internet and fax is a communication device and has network externality effect. thus as the penetration coefficient increases, the network effect improves. the transmission of information via the word of mouth is the main source of enhancing the network externalities coefficient. in this article we have investigated the factors affecting the network externality coeffici...

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it is well known that in operations research‎, ‎degeneracy can cause a cycle in a network‎ ‎simplex algorithm which can be prevented by maintaining strong‎ ‎feasible bases in each pivot‎. ‎also‎, ‎in a network consists of n arcs‎ ‎and m nodes‎, ‎not considering any new conditions on the entering‎ ‎variable‎, ‎the upper bound of consecutive degenerate pivots is equal‎ $left( ‎begin{array}{c}‎ ‎n...