首页> 外文期刊>Network Daily News >New Findings Reported from Bilkent University Describe Advances in Neural Networks and Learning Systems (Markovian Rnn: an Adaptive Time Series Prediction Network With Hmm-based Switching for Nonstationary Environments)
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New Findings Reported from Bilkent University Describe Advances in Neural Networks and Learning Systems (Markovian Rnn: an Adaptive Time Series Prediction Network With Hmm-based Switching for Nonstationary Environments)

机译:新发现从肯特大学报道描述神经网络的进步和学习系统(马尔可夫链的Rnn:一个自适应时间序列预测与Hmm-based交换网络非平稳的环境)

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By a News Reporter-Staff News Editor at Network Daily News – New research on Networks - Neural Networks and Learning Systems is the subject of a report. According to news reporting originating from Ankara, Turkey, by NewsRx correspondents, research stated, “We investigate nonlinear regression for nonstationary sequential data. In most real-life applications such as business domains including finance, retail, energy, and economy, time series data exhibit nonstationarity due to the temporally varying dynamics of the underlying system.”
机译:由一个新闻记者在网络新闻编辑每日新闻-新的研究网络的神经网络学习系统的主题报告。从安卡拉,土耳其NewsRx记者,研究说,“我们研究非线性的非平稳序列数据的回归。最实际的应用程序等业务领域包括金融、零售、能源、和经济,表现出非平稳时间序列数据由于暂时不同的动力学底层系统。”

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