In this paper, load-carrying capacity in steel shear wall (SSW) was estimated using artificial neural networks (ANNs). The SSW parameters including load-carrying capacity (as ANN’s target), plate thickness, thickness of stiffener, diagonal stiffener distance, horizontal stiffener distance and gravity load (as ANN’s inputs) are used in this paper to train the ANNs. 144 samples data of each of th...

As a key step to endow the neural network with nonlinear factors, activation function is crucial performance of network. This paper proposes an Efficient Asymmetric Nonlinear Activation Function (EANAF) for deep networks. Compared existing functions, proposed EANAF requires less computational effort, and it self-regularized, asymmetric non-monotonic. These desired characteristics facilitate out...

The application of conductive coatings on ferritic stainless steel can decrease electrical conductivity. Theaim of this research was to investigate the electrical conductivity of cobalt coated AISI 430 ferritic stainlesssteel by pack cementation technique. Coated coupons were analyzed using scanning electron microscopy(SEM). Electrical conductivity of the coated substrates was measured as a fun...

introduction there is a growing interest in determining the concentration of various elements in food spices. in the present study, the instrumental neutron activation analysis (inaa) was employed to measure the trace elements in 11 commonly food spices consumed in tehran, iran. materials and methods the levels of k, mn, na, cl, v, br, al, and as were determined and their effects on human healt...

In recent years, there has been a lot of interest in the use of discrete-time recurrent neural nets (DTRNN) to learn nite-state tasks, and in the computational power of DTRNN, particularly in connection with nite-state computation. This paper describes a simple strategy to devise stable encodings of sequential nite-state translators (SFST) in a second-order DTRNN with units having bounded, stri...