Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

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 ...

The curious minds at ColdFusion explore how neural networks are shaping today’s AI applications. After massive raid at ...

According to the Qichacha APP, recently, Cambrian (688256) wholly-owned subsidiary Anhui Cambrian Information Technology Co., Ltd. has been granted a patent for "A Quantization Training Method, Device ...

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 ...

Multifunction radar systems have evolved to perform a host of tasks from surveillance to target tracking, realising complex electronic support measures with high precision. At the heart of these ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Over the last 10 years, neural networks have been increasingly applied to various areas of finance. Neural networks are more often applied on the assets side than on the liabilities side of the ...

This paper investigates the use of neural network combining methods to improve time series forecasting performance of the traditional single keep-the-best (KTB) model. The ensemble methods are applied ...