Bi-LSTM

Rolling Bearing Fault Diagnosis Method Based on NLF-LSTM

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Rolling Bearing Fault Diagnosis Method Based on NLF-LSTM

Peng Cheng 1，2，Jiang Jinyuan 1，Li Fengjuan 1 （1.Hunan University of Technology, School of Computer Science, Zhuzhou, Hunan 412007； 2.Central South University, School of Automation, Changsha, Hunan 410083） Abstract: This paper addresses the difficulty of hyperparameter configuration in fault diagnosis using deep learning methods. To effectively optimize the set of hyperparameters, we propose an optimization algorithm … Read more

Loom Shutdown Prediction Based on LSTM Recurrent Neural Network

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Loom Shutdown Prediction Based on LSTM Recurrent Neural Network

· Included in the Overview of Core Journals in China · Core Journal of Chinese Science and Technology · High-quality Scientific Journal in the Textile Field (T3) · Journal Indexed by Scopus in Netherlands · Included in the Ulrich’s Periodicals Directory in the USA · Included in EBSCO-TTC in the USA · Included in the … Read more

Text Generation with LSTM Based on Anna Karenina

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Text Generation with LSTM Based on Anna Karenina

Click the “MLNLP” above to select the “Starred” public account. Heavyweight content delivered promptly. Author: Tian Yu Su https://zhuanlan.zhihu.com/p/27087310 Introduction Recently, I finished reading some foreign materials on LSTM, mainly referencing Colah’s blog and Andrej Karpathy’s blog on RNN and LSTM, and I am preparing to implement an LSTM model. The basic framework of the … Read more

Process Production Quality Prediction Algorithm Based on Mar-G LSTM

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Process Production Quality Prediction Algorithm Based on Mar-G LSTM

Paper Title Process Production Quality Prediction Algorithm Based on Mar-G LSTM Authors Yin Yanchao, Su Yifan (Corresponding Author), Tang Jun, Lin Wenqiang, Pu Haoran, Wang Linyu Affiliations 1. School of Mechanical and Electrical Engineering, Kunming University of Science and Technology 2. Yunnan Tobacco Industrial Co., Ltd. Funding National Key R&D Program of China (2023YFB3308401) National … Read more

Design of IGBT Parameter Prediction Hardware System Based on LSTM Network

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Design of IGBT Parameter Prediction Hardware System Based on LSTM Network

Abstract: Predicting the parameters of Insulated Gate Bipolar Transistors (IGBTs) can effectively avoid economic losses and safety issues caused by their failures. By analyzing the parameters of IGBTs, a System on Chip (SoC) hardware system for IGBT parameter prediction based on LSTM networks is designed. This system uses an ARM processor as the main controller … Read more

Short-Term Power Load Forecasting Based on CEEMDAN-LSTM-CNN Network

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Short-Term Power Load Forecasting Based on CEEMDAN-LSTM-CNN Network

ClickBlue Text| Follow“Electrical Engineering” Abstract:Short-term power load is highly random and volatile, making it difficult for traditional load forecasting methods to grasp the patterns of short-term load changes. To improve the accuracy of short-term power load forecasting, we propose a method that integrates Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), Long Short-Term Memory … Read more

Anomaly Detection Method for Ship Trajectories Based on Transformer-LSTM

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Anomaly Detection Method for Ship Trajectories Based on Transformer-LSTM

In the field of maritime transportation, ensuring the safe navigation of vessels is crucial. To prevent maritime accidents, Professor Guo Jian’s team from the Information Engineering University of the People’s Liberation Army of China has developed a novel anomaly detection technology for ship trajectories based on artificial intelligence. This technology utilizes a model known as … Read more

Sea Temperature Forecast Model Based on PCA and LSTM

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Sea Temperature Forecast Model Based on PCA and LSTM

Sea Temperature Forecast Model Based on PCA and LSTM Full text can be downloaded on PC at the following address: http://www.hyyb.org.cn/Magazine/Show.aspx?ID=3464 Reading Notes Authors: Li Jingshi1 2 Kuang Xiaodi1 2 Li Qiong3 He Enye1 2 Zhang Yubai3 Yuan Chengyi4 Zhang Yanlin5 Affiliations: 1. National Marine Environmental Forecasting Center, Beijing 100081; 2. Key Laboratory of Marine … Read more

Prediction of Protein-Ligand Binding Affinity Based on LSTM and Attention Mechanism

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Prediction of Protein-Ligand Binding Affinity Based on LSTM and Attention Mechanism

Prediction of Protein-Ligand Binding Affinity Based on LSTM and Attention Mechanism Wang Wei1,2*, Wu Shiyu1, Liu Dong1,2, Liang Huiru1, Shi Jinling3, Zhou Yun1,2, Zhang Hongjun4, Wang Xianfang5 (1 Henan Normal University, School of Computer and Information Engineering, Xinxiang, Henan 453007; 2 Henan Province Education Artificial Intelligence and Personalized Learning Key Laboratory, Xinxiang, Henan 453007; 3 … Read more

Public Sentiment Analysis of Meteorological Disasters Based on LSTM-BLS

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Public Sentiment Analysis of Meteorological Disasters Based on LSTM-BLS

2021 Issue 4 Public Sentiment Analysis of Meteorological Disasters Based on LSTM-BLS Jia Luo1 Lehao Wang2 Shanshan Tu1 Ge Song1 Ying Han2 1Hubei Provincial Public Meteorological Service Center, Wuhan, 430074 2Nanjing University of Information Science and Technology, School of Automation, Nanjing, 210044 Abstract:In recent years, Long Short-Term Memory (LSTM) networks have shown certain advantages in … Read more