how to cite this article: talebian a, soltani b, sehat m, zahedi a, noorian a, talebian m. incidence and risk factors of neural tube defects in kashan, central iran. iran j child neurol. summer 2015;9(3):50-56. abstract objective neural tube defects (ntds) are the most common congenital defects of central nervous system due to neural tube closure deficit during the third and fourth weeks of ges...

The aim of this paper is twofold: first, to introduce a neural field model motivated by a well-known neural mass model; second, to show how one can estimate model parameters pertaining to spatial (anatomical) properties of neuronal sources based on EEG or LFP spectra using Bayesian inference. Specifically, we consider neural field models of cortical activity as generative models in the context ...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

. introduction mass movements are among the most destructive natural disasters in mountainous areas which cause great damages of over millions of dollars to human beings' life and infrastructures across the world. landslide, as a type of mass movement, is a complex process that occurs under the influence of internal and external parameters. the main effective parameters in hillside instability ...

in this paper, we introduce a hybrid approach based on neural network and optimization teqnique to solve ordinary differential equation. in proposed model we use heyperbolic secont transformation function in hiden layer of neural network part and bfgs teqnique in optimization part. in comparison with existing similar neural networks proposed model provides solutions with high accuracy. numerica...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

the purposes of this article are studying the effects of oxygen presence on waste wood pyrolysis process in order to produce bio-char. to reach the goal, cubic samples of size 2.5 cm pyrolized at 300 and 400 °c. the surface and center temperatures of samples were measured and their mass losses were calculated from the ratio of pyrolized mass to initial mass of the sample. increase in temperatur...