首页> 外文期刊>Network Daily News >New Artificial Neural Networks Study Results from University of Life Sciences in Poznan Described (Identification of Factors Affecting Environmental Contamination Represented by Post-Hatching Eggshells of a Common Colonial Waterbird with Usage ...)
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New Artificial Neural Networks Study Results from University of Life Sciences in Poznan Described (Identification of Factors Affecting Environmental Contamination Represented by Post-Hatching Eggshells of a Common Colonial Waterbird with Usage ...)

机译:新的人工神经网络研究的结果在波兹南的生命科学大学(影响因素的识别环境污染由Post-Hatching蛋壳的常见的殖民地Waterbird使用量…)

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By a News Reporter-Staff News Editor at Network Daily News - Research findings on artificial neural networks are discussed in a new report. According to news reporting from Poznan, Poland, by NewsRx journalists, research stated, “Artificial Neural Networks are used to find the influence of habitat types on the quality of the environment expressed by the concentrations of toxic and harmful elements in avian tissue. The main habitat types were described according to the Corine Land Cover CLC2012 model.”
机译:由一个新闻记者在网络新闻编辑每日新闻——研究发现人工讨论了神经网络在一份新报告。据新闻报道波兹南,波兰,由NewsRx记者,研究指出,“人工神经网络用于查找生境类型的质量的影响环境浓度表示的有毒、有害元素在鸟类组织。主要栖息地类型是根据描述Corine土地覆盖CLC2012模式。”

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    《Network Daily News》 |2022年第14期|74-74|共1页
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  • 正文语种 英语
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