In this paper, vapor pressure for pure compounds is estimated using the Artificial Neural Networks and a simple Group Contribution Method (ANN–GCM). For model comprehensiveness, materials were chosen from various families. Most of materials are from 12 families. Vapor pressure data of 100 compounds is used to train, validate and test the ANN-GCM model. Va...

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 study, for increasing absorption of the active layer in bulk hetero junction (BHJ) organic solar cells (OSCs) we used surface Plasmon effects of metal nano particles (MNPs). We embedded the MNPs inside the active layer and studied the device structure. For shown the results we investigated the model of our structure with Finite Difference Time Domain (FDTD) numerical method and achieved...

In this study, for increasing absorption of the active layer in bulk hetero junction (BHJ) organic solar cells (OSCs) we used surface Plasmon effects of metal nano particles (MNPs). We embedded the MNPs inside the active layer and studied the device structure. For shown the results we investigated the model of our structure with Finite Difference Time Domain (FDTD) numerical method and achieved...

In this paper, dynamic modeling of a double layer cylindrical functionally graded (FG) microshell is considered. Modeling is based on the first-order shear deformation theory (FSDT), and the equations of motion are derived using the Hamilton's principle. It assumes that functionally graded length scale parameter changes along the thickness. Generalized differential quadrature method (GDQM) is u...

Distribution of contact pressure between the bipolar plate and gas diffusion layer considerably affect the performance of proton exchange membrane fuel cell. In this regard, an adaptive neuro-fuzzy inference system (ANFIS) is developed to predict the contact pressure distribution on the gas diffusion layer due to dimensional errors of the bipolar plate ribs in a proton exchange membrane fuel ce...

in this study two intelligent systems, based on adaptive neuro-fuzzy inference systems (anfis) and artificial neural networks (anns) of forecasting municipal solid wastes (msw) generation has been proposed. anfis and anns as an intelligent tool compared with together was used to monthly prediction of msw generated in tehran. monthly amount of solid wastes (sw), total monthly precipitation, mont...

by the explosive growth of b2b e-commerce transactions in international supply chains and the rapid increase of business documents in iran’s cross-border trading, effective management of trade processes over borders is vital in b2b e-commerce systems. structure of the localized model in this paper is based on three major layers of a b2b e-commerce infrastructure, which are messaging layer, busi...

Abstract Background and scope: The current situation in Iran suggests a good basis for advancement in biotechnology industries because the patents for many hi-tech medicines registered in developed countries are ending. Biosimilar and technology-oriented companies without patents will have the opportunity to enter the biosimilar market and move toward innovative initiatives. The present researc...

Since the cutting tools used in machining process of super alloys are subjected to high cutting forces, accordingly tools life is reduced, therefore improvement in alloys machining and reducing cutting forces to achieve longer tools life is an essential necessity. In this research, the effect of changes in feed rate on cutting forces in machining process of nickel based super alloys is investig...