Abstract: In this paper, fractional order implicit dynamics (FOID) is first proposed and investigated for solving time-varying linear matrix equation $A(t) X(t) B(t ...

Approximate solutions to more complex equations can be found using a process called iteration. Iteration means repeatedly carrying out a process. To solve an equation using iteration, start with an ...

Abstract: In this article, we propose an efficient Takagi–Sugeno fuzzy zeroing neural network (TS-FZNN) activated by a new activation function for solving the time-varying Sylvester equation. The self ...

Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a high-precision and scalable analogue matrix computing chip based on RERAM, which ...

Whether we're seeking customer support, looking for recommendations, or simply asking a quick question, AI chatbots are designed to give us the answers we're looking for. But there's more going on ...

A research team has developed an innovative parameter, FoMLUE, to evaluate the potential of photoactive materials for semi-transparent organic photovoltaics (ST-OPVs), paving the way for their ...