Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.

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...

this paper intends to offer a new iterative method based on arti cial neural networks for finding solution of a fuzzy equations system. our proposed fuzzi ed neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of arti cial neural networks, can get a real input vector and calculates its corresponding fu...

Real-time network traffic management is becoming more and more crucial in Telecommunications. In this paper, we propose a modular system based on neural networks, designed as an aid to the operator, for performing diagnosis at different levels of the network. In particular, we focus on the local diagnosis problem e.g. at the secondary transit centres of a telephone network. Statistical and neur...

With the rapid evolution of telecommunication networks, real-time traffic management is becoming more and more crucial. We propose here a neural network modular architecture for performing diagnosis at different levels of the telephone network. This system is designed as an aid to the operator. We present results of different experiments with a first version of the architecture which mainly ope...

In order to further reduce the vibration level of helicopters, active control technology helicopters has been extensively studied. Among them, individual blade (IBC) independently applies high-order harmonics each with an actuator, which can improve aerodynamic environment and effectively load hub. The rotor structural dynamics model based on Hamilton energy variation principle medium deformati...

this paper addresses a nonlinear observer based control scheme to synchronize chaotic systems subject to uncertainties and external disturbances. it is assumed that the dynamic of slave system is not completely known. in order to compensate for the system perturbation resulting from parameter variations and mismodeling phenomena, an adaptive neural network observer is employed to handle this pr...