Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 62-65.
• Intelligent Computing • Previous Articles Next Articles
JIA Ning, ZHENG Chun-jun
CLC Number:
[1]许世卫,李哲敏,董晓霞,等.中国农产品在产销间价格传导机制研究[J].资源科学,2010,32(11):2092-2099. [2]刘瑶.我国农产品价格波动机制研究——基于SVAR模型[J].山东社会科学,2017(4):146-151. [3]刘海清,方佳.基于指数平滑模型的海南省芒果价格预测[J].热带农业科学,2010,30(1):79-81. [4]刘峰,王儒敬,李传席.ARIMA模型在农产品价格预测中的应用.计算机工程与应用,2009(25):242-243,252. [5]CHOI H K.Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model∥Computational Engineering,Finance,and Science.2018. [6]LI D Y,XIE L Y,QIAN S Y,et al.Design and Implementation of Distributed Crawler System Based on Scrapy.Journal of Hubei University for Nationalities(Natural Science Edition),2017(3). [7]KIM H Y,CHANG H W.Forecasting the Volatility of StockPrice Index:A Hybrid Model Integrating LSTM with Multiple GARCH-Type Models[J].Expert Systems with Applications,2018,103:S0957417418301416. [8]YUE W,SUN Y,LIU Z,et al.Dynamic Graph CNN for Learning on Point Clouds∥Computer Vision and Pattern Recognition.2018. [9]LOPEZ M M,KALITA J.Deep Learning applied to NLP.Computation and Language,2017. [10]陈卫华,徐国祥.基于深度学习和股票论坛数据的股市波动率预测精度研究.管理世界,2018(1):180-181. [11]王国栋,韩斌,孙文赟.基于LSTM的舰船运动姿态短期预测[J].舰船科学技术,2017(7):69-72. [12]陆泽楠,商玉林.基于LSTM神经网络模型的钢铁价格预测[J].科技视界,2017(13):116-117. [13]CAO C Y,LV Q.Using Bidirectional LSTM Deep Neural Network for Protein Residue Contact Prediction [J].Journal of Chinese Computer Systems,2017(3):531-535. [14]KONG D J,TANG S L,WU Fei.Location Prediction via Generative Adversarial Network with Spatial Temporal Embedding [J].Pattern Recognition and Artificial Intelligence,2018(1):49-60. [15]NEIL D,PFEIFFER M,LIU S C.Phased LSTM:Accelerating Recurrent Network Training for Long or Event-based Sequences∥Advances in Neural Information Processing Systems 29(NIPS 2016).2016. [16]HUANG Y S,CHOU S Y,YANG Y H.Pop Music Highlighter:Marking the Emotion Keypoints.Transactions of the International Society for Music Information Retrieval,2018,1(1):68-78. [17]PERSIO L D,HONCHAR O.Analysis of recurrent neural networks for short-term energy load forecasting[C]∥American Institute of Physics Conference Series.2017. [18]MIRSAMADI S,BARSOUM E,ZHANG C.Automatic Speech Emotion Recognition Using Recurrent Neural Networks with Local Attention[C]∥ICASSP.IEEE,2017. [19]HOCHREITER S,SCHMIDHUBER J.Long Short-term Me-mory [J].Neural Computation,1997,9(8):1735-1780. |
[1] | RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207. |
[2] | ZHOU Fang-quan, CHENG Wei-qing. Sequence Recommendation Based on Global Enhanced Graph Neural Network [J]. Computer Science, 2022, 49(9): 55-63. |
[3] | DAI Yu, XU Lin-feng. Cross-image Text Reading Method Based on Text Line Matching [J]. Computer Science, 2022, 49(9): 139-145. |
[4] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[5] | XIONG Li-qin, CAO Lei, LAI Jun, CHEN Xi-liang. Overview of Multi-agent Deep Reinforcement Learning Based on Value Factorization [J]. Computer Science, 2022, 49(9): 172-182. |
[6] | WANG Ming, PENG Jian, HUANG Fei-hu. Multi-time Scale Spatial-Temporal Graph Neural Network for Traffic Flow Prediction [J]. Computer Science, 2022, 49(8): 40-48. |
[7] | WANG Xin-tong, WANG Xuan, SUN Zhi-xin. Network Traffic Anomaly Detection Method Based on Multi-scale Memory Residual Network [J]. Computer Science, 2022, 49(8): 314-322. |
[8] | JIANG Meng-han, LI Shao-mei, ZHENG Hong-hao, ZHANG Jian-peng. Rumor Detection Model Based on Improved Position Embedding [J]. Computer Science, 2022, 49(8): 330-335. |
[9] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[10] | SUN Qi, JI Gen-lin, ZHANG Jie. Non-local Attention Based Generative Adversarial Network for Video Abnormal Event Detection [J]. Computer Science, 2022, 49(8): 172-177. |
[11] | YAN Jia-dan, JIA Cai-yan. Text Classification Method Based on Information Fusion of Dual-graph Neural Network [J]. Computer Science, 2022, 49(8): 230-236. |
[12] | ZHANG Ying-tao, ZHANG Jie, ZHANG Rui, ZHANG Wen-qiang. Photorealistic Style Transfer Guided by Global Information [J]. Computer Science, 2022, 49(7): 100-105. |
[13] | ZENG Zhi-xian, CAO Jian-jun, WENG Nian-feng, JIANG Guo-quan, XU Bin. Fine-grained Semantic Association Video-Text Cross-modal Entity Resolution Based on Attention Mechanism [J]. Computer Science, 2022, 49(7): 106-112. |
[14] | XU Ming-ke, ZHANG Fan. Head Fusion:A Method to Improve Accuracy and Robustness of Speech Emotion Recognition [J]. Computer Science, 2022, 49(7): 132-141. |
[15] | MENG Yue-bo, MU Si-rong, LIU Guang-hui, XU Sheng-jun, HAN Jiu-qiang. Person Re-identification Method Based on GoogLeNet-GMP Based on Vector Attention Mechanism [J]. Computer Science, 2022, 49(7): 142-147. |
|