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An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection

机译：使用经常性人工神经网络和属性选择预测的亚马逊无刺蜂觅食活动

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Pedro A. B. Gomes; Yoshihiko Suhara; Patrícia Nunes-Silva; Luciano Costa; Helder Arruda; Giorgio Venturieri; Vera Lucia Imperatriz-Fonseca; Alex Pentland; Paulo de Souza; Gustavo Pessin;
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1. An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection [J] . Pedro A. B. Gomes, Yoshihiko Suhara, Patrícia Nunes-Silva, Scientific reports. . 2020,第1期

机译：使用经常性人工神经网络和属性选择预测的亚马逊无刺蜂觅食活动
2. Artificial bee colony, genetic, back propagation and recurrent neural networks for developing intelligent system of turning process [J] . Arun Kumar Shettigar, G. C. Manjunath Patel, Ganesh R. Chate, SN Applied Sciences . 2020,第4期

机译：人工蜂群，遗传，反向传播和递归神经网络，用于开发车削过程智能系统
3. Inferring Gene Regulatory Network with Recurrent Neural Network and Extended Artificial Bee Colony Algorithm [J] . Tausif Al Hossain, Mohammad Shoyaib, Saifuddin Md Tareeq Plant Tissue Culture and Biotechnology . 2018,第2期

机译：基于递归神经网络和扩展人工蜂群算法的基因调控网络推断
4. Predicting bee flight activity using artificial neural networks [C] . Robert Seccomb, Jerry Bromenshenk, David Opitz IASTED International Conference Applied Simulation and Modelling July 24-26, 2000, in Banff, Alberta, Canada. . 2000

机译：使用人工神经网络预测蜜蜂的飞行活动
5. Nonlinear system identification using a genetic algorithm and recurrent artificial neural networks. [D] . Zhu, Yuqing. 2006

机译：使用遗传算法和递归人工神经网络进行非线性系统识别。
6. Body size limits dim-light foraging activity in stingless bees (Apidae: Meliponini) [O] . Martin Streinzer, Werner Huber, Johannes Spaethe -1

机译：体型限制无刺蜜蜂的昏暗光线觅食活动（Apidae：Meliponini）
7. Attributes Selection for Predicting Studentsapos; Academic Performance using Education Data Mining and Artificial Neural Network [O] . Suchita Borkar, K. Rajeswari 2014

机译：使用教育数据挖掘和人工神经网络预测学生学习绩效的选择

An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection

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