In this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and Newton-Cotesmethods with positive coefficient for the solution of linear Fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. Here neural network isconsidered as a part of large field called neural computing orsoft computing. We propose alearning algorithm from ...

‎By p-power (or partial p-power) transformation‎, ‎the Lagrangian function in nonconvex optimization problem becomes locally convex‎. ‎In this paper‎, ‎we present a neural network based on an NCP function for solving the nonconvex optimization problem‎. An important feature of this neural network is the one-to-one correspondence between its equilibria and KKT points of the nonconvex optimizatio...

objective(s): studies have confirmed that microgravity, as a mechanical factor, influences both differentiation and function of mesenchymal stem cells. here we investigated the effects of simulated microgravity on neural differentiation of human adipose-derived stem cells (adscs). materials and methods:we have used a fast rotating clinostat (clinorotation) to simulate microgravity condition. re...

precipitation is one of important parameters of climatology and atmospheric science that have more importance in human life. recently, extensive flood and drought entered many damage to most parts of the world. precipitation forecasting and alerts management role is responsible for these problems. today, artificial neural networks are one of developed method that applied for estimate and predic...

conclusions taken together, the combination of chemical and growth factors in the two-step induction protocol may improve the efficiency of msc differentiation into neural progenitor cells, and may be a new method for the easy and fast application of mscs in regenerative medicine in the future. results the results of real-time pcr showed that the expression of the gfap, mbp, and map-2 genes aft...

the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...

Background: Promyelocytic leukemia protein (PML) is a tumor suppressor protein that is involved in myeloid cell differentiation in response to retinoic acid (RA). In addition, RA acts as a natural morphogen in neural development. Objectives: This study aimed to examine PML gene expression in different stages of in vitro neural differentiation of NT2 cells, and to investigate the possible role o...

Objective(s): Nowadays much effort is being invested in order to diagnose the mechanisms involved in neural differentiation. By clarifying this, making desired neural cells in vitro and applying them into diverse neurological disorders suffered from neural cell malfunctions could be a feasible choice. Thus, the present study assessed the capability of fetal brain extract (FBE) to induce rat bon...