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Chang Gung University Reports Findings in Life Science Research (Exploiting deep neural network and long short-term memory method-ologies in bioacoustic classification of LPC-based features)

机译:长庚大学报告发现在生活中科学研究(利用深层神经网络短期记忆和长期method-ologiesbioacoustic LPC-based分类功能)

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By a News Reporter-Staff News Editor at Network Daily News – New research on Life Science Research is the subject of a report. According to news reporting originating from Taoyuan, Taiwan, by NewsRx correspondents, research stated, “The research describes the recognition and classification of the acoustic characteristics of amphibians using deep learning of deep neural network (DNN) and long short-term memory (LSTM) for biological applications. First, original data is collected from 32 species of frogs and 3 species of toads commonly found in Taiwan.”
机译:由一个新闻记者在网络新闻编辑每日新闻——新的研究生命科学研究报告的主题。新闻报道来自桃园、台湾、NewsRx记者,研究说,”研究描述了识别和分类的声学特征两栖动物使用深度学习的神经网络(款)和长期短期记忆(LSTM)生物应用。收集来自32个种类的青蛙和3在台湾种蟾蜍常见。”

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