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Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction

机译：用于小时间尺度网络流量预测的柔性神经树和常微分方程的集合

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Bin Yang; Mingyan Jiang; Yuehui Chen; Qingfang Meng; Ajith Abraham;
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1. Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction [J] . Bin Yang1, Mingyan Jiang1, Yuehui Chen2, Journal of Computers . 2013,第12期

机译：用于柔性神经树和常微分方程的集成，用于小型尺度网络流量预测
2. Small-time scale network traffic prediction based on flexible neural tree [J] . Yuehui Chen, Bin Yang, Qingfang Meng Applied Soft Computing . 2012,第1期

机译：基于柔性神经树的小规模网络流量预测
3. A Novel General and Robust Method Based on NAOP for Solving Nonlinear Ordinary Differential Equations and Partial Differential Equations by Cellular Neural Networks [J] . Jean Chamberlain Chedjou, Kyandoghere Kyamakya Journal of Dynamic Systems, Measurement, and Control . 2013,第3期

机译：基于NAOP的通用鲁棒方法用细胞神经网络求解非线性常微分方程和偏微分方程。
4. Ensemble of flexible neural tree and ordinary differential equations for inferring gene regulatory networks [C] . Qingfei Meng, Dong Wang, Yuehui Chen, International Conference on Informative and Cybernetics for Computational Social Systems . 2016

机译：灵活的神经树和常微分方程的集合，用于推断基因调控网络
5. High-order Multistep Asynchronous Splitting Methods (MASM) for the numerical solution of multiple-time-scale ordinary differential equations. [D] . Gudla, Pradeep Kumar. 2016

机译：多时间尺度常微分方程数值解的高阶多步异步分裂方法（MASM）。
6. Ordinary differential equations and Boolean networks in application to modelling of 6-mercaptopurine metabolism [O] . Anastasia I. Lavrova, Eugene B. Postnikov, Andrey Yu. Zyubin, 2017

机译：常微分方程和布尔网络在6-巯基嘌呤代谢建模中的应用
7. Stability and Flexibility from a System Analysis of Gene RegulatoryNetworks Based on Ordinary Differential Equations [O] . Hörnquist, Michael, Gustafsson, Mika 2011

机译：基于常微分方程的基因调控网络系统分析的稳定性和灵活性

Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction

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