The use of Recurrent Neural Networks is not as extensive as Feedforward Neural Networks. Training algorithms for Recurrent Neural Networks, based on the error gradient, are very unstable in their search for a minimum and require much computational time when the number of neurons is high. The problems surrounding the application of these methods have driven us to develop new training tools. In t...

Many important complex networks, including critical infrastructure and emerging industrial automation systems, are becoming increasingly intricate webs of interacting feedback control loops. A fundamental concern is to quantify the control properties and performance limitations of the network as a function of its dynamical structure and control architecture. We study performance bounds for netw...

In this paper a Neural Networks (NN) is proposed for transient stability prediction. Transient stability of a power system is first determined based on the generator relative rotor angles procured from time domain simulation outputs. Simulations were carried out on a single machine infinite bus system by considering three phase short circuit fault on the system. The data collected from the time...

Recurrent neural networks unlike feed-forward networks are able to process inputs with time context. The key role in this process is played by the dynamics of the network, which transforms input data to the recurrent layer states. Several authors have described and analyzed dynamics of small sized recurrent neural networks with two or three hidden units. In our work we introduce techniques that...

objectives: the main purpose of this study was to determine the interactive role of physical activity and personality traits inpsychosocial development of elders. methods & materials: this research was a casual comparative with 300 elders (150 active and 150 non-actives) with 60-85 years old from tehran selected as statistical sample on available bases. all subjects completed psychosocial devel...

conclusions: patent coronaries of ua/nstemi patients have a trend to higher tfcs compared to normal values. presence of significant coronary lesions in these patients significantly increases tfc. objectives: the present study is aimed to measure the tfc in the coronary arteries of ua/nstemi patients to find abnormalities in diseased or patent vessels and compare with the normal values. patients...

background & objectives: regional planning requires identification of the development status of regions relative to each other. one of the indicators of development is health indicator that describes utilization of health services in the society. the purpose of this study is to analyze health indicators status in ardabil province and prioritize them for future planning. methods: based on practi...

A theory of time as the ’information’ created in the irreversible decay process of excited or unstable states is proposed. Using new tools such as Feynman Clocks (FCs) [1], [2], [3], Feynman Detectors (FDs), Collective Excitation Networks (CENs), Sequential Excitation Networks (SENs), Plateaus of Complexity (POCs), Causal Networks, and Quantum Computation Methods [4], [5], [6] previously separa...

We propose quantum Boolean networks, which can be classified as deterministic reversible asynchronous networks. This model is based on the previously developed concept of functions. A network a where functions associated with nodes are study some properties this novel and, using simulator, we how dynamics change in function connectivity and set operators allow. For configurations, resembles beh...

in wireless sensor networks, optimal consumptionof energy and having maximum life time are important factors. in this article attempt has been made to send the data packets with particular reliability from the beginning based on aodv protocol. in this way two new fields add to the routing packets and during routing and discovering of new routes, the lowest remained energy of nodes and route tra...