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1

Novel multiclass classification framework with multi-branch LSTM and attention mechanism for mental workload evaluation

基于注意力机制的多分支LSTM心理负荷评估模型

Feng Yuan

Li Yanlei

Li Yifan

Zhang Bo

Ding Jinhong

Xia Likun

electroencephalogram(EEG)

mental workload

attention mechanism

long short-term memory(LSTM)

No. 11, 2021 : 3371-3375 doi:10.19734/j.issn.1001-3695.2021.04.0142

2

Method to solve Job-Shop scheduling problem using deep recurrent neural network model with embedded pointer network

嵌入指针网络的深度循环神经网络模型求解作业车间调度问题

Ren Jianfeng

Ye Chunming

long short-term memory(LSTM)

pointer network

attention mechanism

Job-Shop scheduling

No. 1, 2021 : 120-124,128 doi:10.19734/j.issn.1001-3695.2019.10.0602

3

Alzheimer’s disease classification algorithm based on DCGAN and LSTM

结合DCGAN与LSTM的阿兹海默症分类算法

Lin Ying

He Xiaofeng

Chen Lingna

Chen Junxi

Alzheimer's disease(AD)

deep convolutional generative adversarial networks(DCGAN)

long short-term memory(LSTM)

unsupervised

No. 5, 2020 : 1574-1577 doi:10.19734/j.issn.1001-3695.2018.10.0853

4

Generation of fuzzing test case based on recurrent neural networks

基于循环神经网络的模糊测试用例生成

Xu Peng

Liu Jiayong

Lin Bo

Sun Huiying

Lei Bin

deep learning

recurrent neural networks(RNN)

fuzzing test

long short-term memory(LSTM)

gate recurrent unit(GRU)

No. 9, 2019 : 2679-2685 doi:10.19734/j.issn.1001-3695.2018.03.0222

Search long short-term memory(LSTM)

Searchlong short-term memory(LSTM)returned 4 results

Novel multiclass classification framework with multi-branch LSTM and attention mechanism for mental workload evaluation

Method to solve Job-Shop scheduling problem using deep recurrent neural network model with embedded pointer network

Alzheimer’s disease classification algorithm based on DCGAN and LSTM

Generation of fuzzing test case based on recurrent neural networks