نتایج جستجو برای: network parameter
تعداد نتایج: 868435 فیلتر نتایج به سال:
The IP converge the multi-applications over Internet, and ATM will construct global networks for IP development. It is a significant research to associate those projects. The vision is that company or enterprise will have ATM switches on their own site to transfer bulk data across Internet. In this paper, we propose a lightweight security mechanism to support secure communications for ATM Netwo...
Rainfall forecasting plays many important role in water resources studies such as river training works and design of flood warning systems. Recent advancement in artificial intelligence and in particular techniques aimed at converting input to output for highly nonlinear, non-convex and dimensionalized processes such as rainfall field, provide an alternative approach for developing rainfall for...
Synchrony is significant in brain neural network. In this study we investigate the collective firing in an excitable media and modeling the brain network by an small-world one. The Gaussian white noise is taken to the system of phase oscillators, and then to the frequency distribution. An order parameter in non stationary situation and other usefull statistical parameters such as firing are co...
Reservoir permeability is a critical parameter for the evaluation of hydrocarbon reservoirs. There are a lot of well log data related with this parameter. In this study, permeability is predicted using them and a supervised committee machine neural network (SCMNN) which is combined of 30 estimators. All of data were divided in two low and high permeability populations using statistical study. E...
In this work, we study the Kuramoto model on scale-free, random and small-world networks with bimodal intrinsic frequency distributions. We consider two models: in one of them, the coupling constant of the ith oscillator is independent of the number of oscillators with which the oscillator interacts, and in the other one the coupling constant is renormalized with the number of oscillators with ...
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...
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