نتایج جستجو برای: local model network
تعداد نتایج: 2988779 فیلتر نتایج به سال:
abstract: in this paper a control scheme for grid-connected operation mode and the island state of distributed generation is presented. in normal conditions, every inverter dg system in micro-grids to supply a preset power, normally operate in a constant current control mode. when micro-grids removed from the network, dg inverter of each system must recognize the island and change position to v...
The neuron state modeling and the local field modeling provides two fundamental modeling approaches to neural network research, based on which a neural network system can be called either as a static neural network model or as a local field neural network model. These two models are theoretically compared in terms of their trajectory transformation property, equilibrium correspondence property,...
abstract precipitation as the most important factor plays the main role in many application researches which are based on climatic parameters. many researches in the field of hydrology, hydrometeorology and agriculture employs rain-gauges (such as synoptic and climatologic stations) data. precipitation characteristics, such as rainfall intensity and duration, usually exhibit significant spatial...
In this paper, a recurrent neural network model is proposed for solving non-smooth convex programming problems, which is a natural extension of the previous neural networks. By using the non-smooth analysis and the theory of differential inclusions, the global convergence of the equilibrium is analyzed and proved. One simulation example shows the convergence of the presented neural network.
the major purpose of this study was to develop the translation teacher competency test (ttct) and examine its construct and predictive validity. the present study was conducted in two phases: a qualitative phase as well as a quantitative phase. in the first phase of the study, the author attempted to find out the major areas of competency required for an academic translation teacher. the second...
We propose an efficient hybrid neural network for chaotic time series prediction. The hybrid neural network is constructed by a traditional feed-forward network, which is learned by using the backpropagation and a local model, which is implemented as a time delay embedding. The feed-forward network performs as the global approximation and the local model works as the local approximation. Experi...
When a network is inferred from data, two types of errors can occur: false positive and negative conclusions about the presence links. We focus on influence local characteristics probability $\ensuremath{\alpha}$ conclusions, $\ensuremath{\beta}$ in case networks coupled oscillators. demonstrate that conclusion probabilities are influenced by connectivity measures such as shortest path length d...
background : in this research primary health care systems were reviewed and the nurses' roles were determined and then a model was designed for health networks in iran. methods: this was a triangulation research done in comparative method. in first step, phc systems reviewed in different countries such as uk, australia, canada, sweden and turkey selected in purposive sampling. in second step, t...
increases in incidents involving so-called confused persons have brought attention to the potential costs of recent changes to public mental health (pmh) services in the netherlands. decentralized under the (community) participation act (2014), local governments must find resources to compensate for reduced central funding to such services or “innovate.” but innovation, even when pressure for c...
Purpose: The aim of the current research is to write possible scenarios for the future of Iran's public libraries. Regarding the position and application of public libraries, they are considered as a communicative medium. Methodology: The effort is to offer scenarios that deal with the multiplicity and unpredictability of the future. The Two-on-Two model was used for determination of scenarios...
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