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Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory

机译：使用双向反复神经网络（Bi-RNN）具有长短期记忆的光学火花 - 点火直喷引擎中的时序流场预测

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Fengnian Zhao; Zhiming Ruan; Zongyu Yue; David L.S. Hung; Sibendu Som; Min Xu;
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1. Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory [J] . Applied thermal engineering: Design, processes, equipment, economics . 2020,第期

机译：使用双向复发性神经网络（Bi-RNN）具有长短期存储器的光学火花 - 点火直喷引擎中的时序流场预测
2. Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility [J] . Bioinformatics . 2017,第18期

机译：通过长短短期内存双向复发性神经网络捕获非局部相互作用，用于改善蛋白质二级结构，骨干角，接触点和溶剂可接近性的预测
3. Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks [J] . Hanson Jack, Peliwal Kuldip, Litfin Thomas, Bioinformatics . 2018,第23期

机译：通过耦合与卷积神经网络的剩余二维双向短期内记忆，精确预测蛋白质联系地图
4. Diagnostic of the State of the Cutting Tool of Metal-Cutting Machines using Bidirectional Recurrent Neural Networks with a Long Short-Term Memory * [C] . Masalimov Kamil Adipovich, Munasypov Rustem Anvarovich International Conference on Control, Automation, Robotics Vision . 2020

机译：使用双向复发性神经网络的金属切割机切割工具的状态诊断，具有长短期记忆*
5. A methodology for CFD predictions of spark-ignition direct-injection engine conical sprays combining improved physical submodels and system optimization. [D] . Grover, Ronald O. 2005

机译：结合改进的物理子模型和系统优化的火花塞直喷发动机圆锥形喷雾CFD预测方法。
6. Online Prediction of Ship Behavior with Automatic Identification System Sensor Data Using Bidirectional Long Short-Term Memory Recurrent Neural Network [O] . Miao Gao, Guoyou Shi, Shuang Li 2018

机译：双向长短期记忆递归神经网络通过自动识别系统传感器数据对船舶行为进行在线预测
7. Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks [O] . Jack Hanson, Yuedong Yang, Kuldip Paliwal, 2016

机译：深度双向短期内记忆经常性神经网络改善蛋白质障碍预测

Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory

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