机译:简短交流:利用基因组和代谢信息以及牛奶性能记录,通过人工神经网络预测亚临床酮症风险
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany;
Institute for Theoretical Physics and Astrophysics, Christian-Albrechts-University, 24098 Kiel, Germany;
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany;
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany;
Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany,Faculty of Kinesiology, University of Calgary, Alberta, Canada;
Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany;
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany;
artificial neural network; prediction; ketosis; milk metabolite;
机译:使用人工神经网络使用测试日记录预测伊朗奶牛305天的产奶量
机译:基于月试验日记录的人工神经网络在Sahiwal牛中首次泌乳305天产奶量的预测
机译:长期内记忆复发性神经网络,用于多种疾病风险预测利用纵向医疗记录
机译:人工和小波神经网络的短期风速预测性能分析
机译:使用长短期记忆人工神经网络来全球预测大气密度
机译:基于人工神经网络的移动协作通信网络中断概率性能预测
机译:使用人工神经网络和多元线性回归方法从第一奇偶校验信息预测乳制品奶牛的二次平等牛奶性能