This paper aims to study the construction and multivariate approximation of a class of network operators with logistic sigmoidal functions. First, a class of even and bell-shaped function with support on R is constructed by using appropriate translation and combination of the logistic function. Then, the constructed function is employed as activation function to construct a kind of so-called Ca...

Parameter identification in a 2-node network with sigmoidal activation functions is considered. Given the nonlinearity in the weights, standard estimation algorithms based on linear parametrization are inadequate tools for studying global parameter convergence. In this paper, we provide an alternative approach for studying parameter identification in the presence of sigmoidal parametrization. C...

background: focal segmental glomerulosclerosis (fsgs) is a type of nephrotic syndrome which is diagnosed by renal biopsy. degree of the proteinuria, renal dysfunction, histologic findings and the response to therapy are some factors used for evaluating the prognosis of fsgs. objectives: in the present study, we attempted to discover some protein candidates for disease prognosis related to glome...

background: recurrent spontaneous abortion (rsa) and in vitro fertilization (ivf) failure with unknown causes are the controversial issues that are probably related to the immune system. objective: to compare circulating nk cells expressing activation and inhibition surface markers between patients with rsa and ivf failure with those of healthy multiparous and successful ivf control women, resp...