Text Generation with LSTM Based on Anna Karenina

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

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

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

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

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

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

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

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

Research on LSTM Water Level Prediction Model Based on Improved Attention Mechanism

Research on LSTM Water Level Prediction Model Based on Improved Attention Mechanism

Research on LSTM Water Level Prediction Model Based on Improved Attention Mechanism Ma Fei 1, Tu Zhenyu 1*, Zhu Songting 2, Xiang Xinyue 1, Sun Yifei 1, Fang Qiang 1 (1. School of Information Engineering, Nanchang Engineering College, Nanchang, Jiangxi, 330099; 2. Jiangxi Flood Control Information Center, Nanchang, Jiangxi, 330009) Abstract In order to further … Read more

Multivariate Time Series Prediction Using Keras LSTM

Multivariate Time Series Prediction Using Keras LSTM

♚ Author: Yishui Hancheng, CSDN Blog Expert, Research Directions: Machine Learning, Deep Learning, NLP, CV Blog: http://yishuihancheng.blog.csdn.net Traditional linear models struggle with multivariate or multi-input problems, whereas neural networks like LSTM excel at handling multiple variables, making them suitable for time series prediction tasks. In the following article, you will learn how to build an … Read more