This paper investigates the observer-based adaptive stabilization control problem for a class of time-delay nonlinear systems with unknown gain using an echo state network (ESN). In order to handle functions, new recurrent neural (RNN) approximation method called ESN is utilized. It improves accuracy, reduces computing cost, and simple train. To address issue gain, Nussbaum function used, Lyapu...

The paper discusses the connotation and constituent factors of the efficiency of social network (ESN). Applying the theory of structural holes, the study analyzes impact factors of ESN on the structural level, the resources level and the strategic level such as structural autonomy, nonredundancy and structural holes strategy. The effect mechanism model of ESN is established according to the act...

The paper discusses methods, forms and safety issues of social network usage for school students. Taking into consideration the growing interest of students to electronic communication in social networks (ESN), it was described their place in the information educational environment. There were made the classification of objects and use of ESN to help teachers and school authority to teach stude...

Underwater acoustic (UWA) communications have been widely used but greatly impaired due to the complicated nature of underwater environment. In order improve UWA communications, modeling and understanding channel is indispensable. However, there exist many challenges high uncertainties environment lack real-world measurement data. this work, capability reservoir computing deep learning has expl...

In real-world applications such as emotion recognition from recorded brain activity, data are captured electrodes over time. These signals constitute a multidimensional time series. this article, Echo State Network (ESN), recurrent neural network with great success in series prediction and classification, is optimized different plasticity rules for classification of emotions based on electroenc...

Faecal Calprotectin (FC) is a surrogate marker for intestinal inflammation, termed Inflammatory Bowel Disease (IBD), but not for cancer. In this retrospective study of 804 patients, an enhanced benchmark predictive model for analyzing FC is developed, based on a novel state-of-the-art Echo State Network (ESN), an advanced dynamic recurrent neural network which implements a biologically plausibl...

Whereas the use of Enterprise Social Networks (ESN) is a pervasive topic in research and practice, both parties are still struggling to come to a better understanding of the role and impact of ESN in and on knowledge-intensive corporate work. As a part of this phenomenon, employees who communicate their knowledge in ESN helping other users to do their daily work play a decisive role. We need to...

Stock market prediction is forever important issue for investor. Computer science plays vital role to solve this problem. From the evolution of machine learning, people from this area are busy to solve this problem effectively. Many different techniques are used to build predicting system. This research describes different state of the art techniques used for stock forecasting and compare them ...

Although enterprise social network (ESN) has been implemented within a number of organizations to facilitate communication, collaboration and engagement among employees, many organizations are struggling to realize the benefits of this emergent workplace social platform (due to employee underutilization). This paper aims to elucidate a successful ESN use case among employees within a leading Au...

Whereas the use of Enterprise Social Networks (ESN) is a pervasive topic in research and practice, both parties are still struggling to come to a better understanding of the role and impact of ESN in and on knowledge-intensive corporate work. As a part of this phenomenon, employees who communicate their knowledge in ESN helping other users to do their daily work play a decisive role. We need to...