crack identification is a very important issue in mechanical systems, because it is a damage that if develops may cause catastrophic failure. in the first part of this research, modal analysis of a multi-cracked variable cross-section beam is done using finite element method. then, the obtained results are validated usingthe results of experimental modal analysis tests. in the next part, a nove...

in this paper, the method of differentiating asthmatic and non-asthmatic patients using the  frequency analysis of  capnogram  signals is presented.  previously, manual study on capnogram signal has been conducted  by several researchers. all past researches showed significant correlation between capnogram signals and asthmatic patients. however all of them are just manual study conducted throu...

nowadays, a lot of natural resource co-management plans due to lack of attention to stakeholders’characteristics and position in network of social relationships have failed. actors or key personnel’srecognition has been one of administrative requirement of natural resources co-management plans.the most influential actors in environmental decisions making can be identified based on stakeholdersa...

Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as black box. This method, omits the effect of intermediate measure on efficiency. Therefore, just the first network inputs and t...

objective: in this study, artificial neural network (ann) analysis of virotherapy in preclinical breast cancer was investigated. materials and methods: in this research article, a multilayer feed-forward neural network trained with an error back-propagation algorithm was incorporated in order to develop a predictive model. the input parameters of the model were virus dose, week and tamoxifen ci...

The banks’ response to their changes in leverage ratios is examined and evaluated in this paper. This reaction can be interpreted as if the coefficient of total debts to equity (lev1) and total assets to equity (lev2) are positive as anticipated in the banking network of Iran. The paper uses data from 31 Iranian banks’ annual databases during the course of 2006-13 in order to estimate an empiri...

In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...

abstract forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. this paper studies load consumption modeling in hamedan city province distribution network by applying esn neural network. weather forecasting data such as minimum day temperature, average day temp...

tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...