نتایج جستجو برای: learning networks
تعداد نتایج: 976319 فیلتر نتایج به سال:
Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The ...
Introduction: The main topic of this research is to Investigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities. An important feature of social networks is that it has become a place to share knowledge, which in turn contributes to the quantitative and qualitative improvement of social capital. Thus...
Introduction: Virtual social networks are increasingly beingused by academics and students in health sciences. It is necessaryto examine opportunities and challenges of these networks basedon the views of faculty and students to describe the existingsituation and planning for proper use. The purpose of this studywas to explore the experiences of students and faculty membersabout opportunities a...
Introduction: The main topic of this research is to Investigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities. An important feature of social networks is that it has become a place to share knowledge, which in turn contributes to the quantitative and qualitative improvement of social capital. Thus...
Change detection is done with the purpose of analyzing two or more images of a region that has been obtained at different times which is Generally one of the most important applications of satellite imagery is urban development, environmental inspection, agricultural monitoring, hazard assessment, and natural disaster. The purpose of using deep learning algorithms, in particular, convolutional ...
security term in mobile ad hoc networks has several aspects because of the special specification of these networks. in this paper a distributed architecture was proposed in which each node performed intrusion detection based on its own and its neighbors’ data. fuzzy-neural interface was used that is the composition of learning ability of neural network and fuzzy ratiocination of fuzzy system as...
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
Community detection is a challenging optimization problem that consists of searching for communities that belong to a network under the assumption that the nodes of the same community share properties that enable the detection of new characteristics or functional relationships in the network. Although there are many algorithms developed for community detection, most of them are unsuitable when ...
Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The ...
Introduction: The use of modern virtual technologies in the process of teaching-learning is inevitable. One example is the use of virtual social networks in education. The purpose of this study was to examine the effects of social networking on nursing students’ academic achievement and retention in learning English. Methods: The pretest-posttest design with a control group was used in this qua...
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