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首页> 外文期刊>Network Daily News >Findings in the Area of Information Technology Reported from Shanghai Maritime University (Data-driven Discovery of Modified Kortewegde Vries Equation, Kdv-burger Equation and Huxley Equation By Deep Learning)
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Findings in the Area of Information Technology Reported from Shanghai Maritime University (Data-driven Discovery of Modified Kortewegde Vries Equation, Kdv-burger Equation and Huxley Equation By Deep Learning)

机译:信息技术领域的研究从上海海事大学报道(数据驱动Kortewegde发现修改弗里斯方程,Kdv-burger方程和赫胥黎通过深度学习方程)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators discuss new findings in Information Technology. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “In this paper, with the aid of symbolic computation system Python, and based on the Deep Neural Network, Automatic differentiation and Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimization algorithms, the model parameters of modified Kortewegde Vries (mkdv) equation Kdv-Burger equation and Huxley equation are obtained.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员讨论新发现在信息技术。来自上海,人民共和国中国NewsRx记者、研究说,”在这篇文章中,借助象征意义Python的计算系统,基于深自动分化和神经网络内存有限Broyden-Fletcher-Goldfarb-Shanno(L-BFGS)优化算法,模型参数修改Kortewegde弗里斯(mkdv)方程Kdv-Burger方程和赫胥黎方程得到。”

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