Fig. 1 shows the mapping of points from the training sample in the coordinates of the two main features – u1 and u2. The color of the point corresponds to the class (red – 0, aqua – 1). From the ...

Neural networks have emerged as a pivotal technology in enhancing the precision and reliability of depth of anaesthesia (DoA) monitoring. By integrating advanced signal processing techniques with ...

This is a preview. Log in through your library . Abstract Over the last 10 years, neural networks have been increasingly applied to various areas of finance. Neural networks are more often applied on ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

In this report, the neural identification problem is outlined and the identifiability question for a general class of recurrent neural networks is addressed. As part of the intelligent flight control ...

The latest announcement from the National Intellectual Property Administration indicates that Nantong Binary Software Technology Co., Ltd. (hereinafter referred to as "Nantong Binary") has been ...

A group of researchers reports the construction of the first reservoir computing device built with a microelectromechanical system. The neural network exploits the nonlinear dynamics of a microscale ...

While power tools and libraries, such as Apache Spark and Intel’s Trusted Analytics Platform, make it possible to quickly design, implement, train, and test neural network applications, it is the ...

In the battle for AI supremacy, the best defense is a good offense. That’s the philosophy behind Grover, a neural network application that is fighting disinformation by creating its own fake news. “We ...