Research on CNC Milling Machine Cutting Power Prediction Model Considering Tool Wear Based on VMD-SSA-LSTM

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Research on CNC Milling Machine Cutting Power Prediction Model Considering Tool Wear Based on VMD-SSA-LSTM

Editor’s Recommendation With the increasing severity of issues such as resource depletion, greenhouse effects, and environmental pollution, our country has emphasized the importance of promoting green manufacturing in its intelligent manufacturing development plan. The manufacturing equipment in mechanical manufacturing systems mainly consists of machine tools, and an accurate and effective energy consumption prediction model for … Read more

Trajectory Prediction of Intelligent Connected Vehicles Based on LSTM Deep Neural Networks

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Trajectory Prediction of Intelligent Connected Vehicles Based on LSTM Deep Neural Networks

Click the blue text to follow us Note Please follow the “Nanyang Normal University Journal” WeChat public account to submit or download papers. “Nanyang Normal University Journal” Public Account Submission website: http://nysf.cbpt.cnki.net Phone: 0377—63525097 Image contribution: Lin Qingsong Welcome to submit!……

Practical Training in AI Python Machine Learning and Deep Learning

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Practical Training in AI Python Machine Learning and Deep Learning

01 Training Overview Python has become one of the most popular programming languages: according to the latest TIOBE rankings, Python has surpassed C# and is now among the top four most popular languages globally, alongside Java, C, and C++. The simplicity, readability, and extensibility of Python, along with its numerous extension libraries, create a development … Read more

Research on Prediction of Railway Subgrade Frost Heave Deformation Using PS-InSAR and M-LSTM

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Research on Prediction of Railway Subgrade Frost Heave Deformation Using PS-InSAR and M-LSTM

Research on Prediction of Railway Subgrade Frost Heave Deformation Using PS-InSAR and M-LSTM Li Xin1,2,3, Wei Guanjun1,2,3, Zhang Delong1,2,3 1. College of Surveying and Geo-Informatics, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China; 2. National Local Joint Engineering Research Center for Geographic National Conditions Monitoring Technology Application, Lanzhou 730070, Gansu, China; 3. Gansu Provincial Geographic National … Read more

Quantitative Abnormality Diagnosis Method for Power Batteries Based on 1D CNN-LSTM

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Quantitative Abnormality Diagnosis Method for Power Batteries Based on 1D CNN-LSTM

In the 2024 issue 7 of “Automobile Engineering”, the research results from the School of Mechanical and Automotive Engineering at South China University of Technology were published: “A Quantitative Diagnosis Method for Power Battery Faults Based on 1D CNN-LSTM Considering Cell Abnormalities”. The paper combines three types of features: the vehicle’s motion state, the drive … Read more

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

Improved LSTM-Based Stock Prediction Method

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Improved LSTM-Based Stock Prediction Method Authors: Fang Hong¹ Han Xingyu² Xu Tao³ (1. Shanghai Second Polytechnic University, School of Humanities and Sciences 2. University College London, Department of Computer Science) Source: Journal of Anhui University (Natural Science Edition) 2019.43(6):36-42 Abstract In response to the common lag issue of Long Short-Term Memory (LSTM) networks in stock … Read more

A Detailed Explanation of Chinese Entity Recognition Model Lattice LSTM

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A Detailed Explanation of Chinese Entity Recognition Model Lattice LSTM

Delivering NLP technology insights to you every day! Source: AI Algorithm Xiao Miao Introduction Today I want to share with you a paper on Chinese Named Entity Recognition by Professor Zhang Yue from Westlake University, published at the ACL conference in 2018, titled Lattice LSTM. Paper Title: “Chinese NER Using Lattice LSTM” Paper Link: https://arxiv.org/pdf/1805.02023.pdf … 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