首页> 外文期刊>Network Daily News >Research Conducted at South China University of Technology Has Updated Our Knowledge about Circuits and Signal Processing (Fpga-type Configurable Coprocessor Implementation Scheme of Recurrent Neural Network for Solving Time-varying Qp Problems)
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Research Conducted at South China University of Technology Has Updated Our Knowledge about Circuits and Signal Processing (Fpga-type Configurable Coprocessor Implementation Scheme of Recurrent Neural Network for Solving Time-varying Qp Problems)

机译:在华南理工大学进行的研究技术更新我们的知识电路和信号处理(Fpga-type可配置协处理器的实现方案复发性神经网络求解时变Qp问题)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Research findings on Engineering - Circuits and Signal Processing are discussed in a new report. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Many scientific and engineering applications can be formulated as a time-varying quadratic programming (TVQP) problem, and effectively solving it is an attractive issue.”
机译:由一个新闻记者在网络新闻编辑每日新闻-研究成果在工程电路和信号处理进行了讨论新报告。起源于广州,中华人民共和国NewsRx记者,中国研究说,“许多科学和工程应用作为一个时变二次制定编程(TVQP)问题,并有效解决问题是一个有吸引力的问题。”

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