Heat Prediction of High Energy Physical Data Based on LSTM Recurrent Neural Network

Heat Prediction of High Energy Physical Data Based on LSTM Recurrent Neural Network

High-energy physics computing is a typical data-intensive calculation. Each year, petabytes of data needs to be analyzed, and data access performance is increasingly demanding. The tiered storage system scheme for building a unified namespace has been widely adopted. Generally, data is stored on sto...

Full description

Bibliographic Details
Main Authors:	Cheng Zhenjing, Wang Lu, Cheng Yaodong, Chen Gang
Format:	Article
Language:	English
Published:	EDP Sciences 2020-01-01
Series:	EPJ Web of Conferences
Online Access:	https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_04002.pdf

Similar Items

Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm
by: Jiahao Chen, et al.
Published: (2023-01-01)

Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm.
by: Jiahao Chen, et al.
Published: (2023-01-01)

Occupancy State Prediction by Recurrent Neural Network (LSTM): Multi-Room Context
by: Mahamadou Klanan Diarra, et al.
Published: (2023-12-01)

Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network
by: Shiyue Cui, et al.
Published: (2020-01-01)

Velocity Prediction Based on Map Data for Optimal Control of Electrified Vehicles Using Recurrent Neural Networks (LSTM)
by: Felix Deufel, et al.
Published: (2022-08-01)

Finger-Vein Verification Based on LSTM Recurrent Neural Networks
by: Huafeng Qin, et al.
Published: (2019-04-01)

Prediction of Rainfall Using Intensified LSTM Based Recurrent Neural Network with Weighted Linear Units
by: S. Poornima, et al.
Published: (2019-10-01)

Remote NOx emission prediction model based on LSTM neural network
by: Wang Tiantian, et al.
Published: (2021-01-01)

Prediction of stock return by LSTM neural network
by: Risheng Qiao, et al.
Published: (2022-12-01)

Modelling Hysteresis in Shape Memory Alloys Using LSTM Recurrent Neural Network
by: Mohammad Reza Zakerzadeh, et al.
Published: (2024-01-01)

Research on the Estimate of Gas Hydrate Saturation Based on LSTM Recurrent Neural Network
by: Chuanhui Li, et al.
Published: (2020-12-01)

Forecasting Crude Oil Consumption in Poland Based on LSTM Recurrent Neural Network
by: Anna Manowska, et al.
Published: (2022-07-01)

LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals
by: Alejandro Toro-Ossaba, et al.
Published: (2022-09-01)

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
by: Francisco Javier Ordóñez, et al.
Published: (2016-01-01)

Short-term residential load forecasting based on LSTM recurrent neural network
by: Kong, Weicong, et al.
Published: (2021)

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks
by: Ruben Zazo, et al.
Published: (2018-01-01)

A Cloud Server Oriented FPGA Accelerator for LSTM Recurrent Neural Network
by: Jun Liu, et al.
Published: (2019-01-01)

Performance evaluation of LSTM neural networks for consumption prediction
by: Davi Guimarães da Silva, et al.
Published: (2022-01-01)

Enhancing data-driven soil moisture modeling with physically-guided LSTM networks
by: Qingtian Geng, et al.
Published: (2024-02-01)

Data prediction model in wireless sensor networks based on bidirectional LSTM
by: Hongju Cheng, et al.
Published: (2019-08-01)

Comparison of Hospital Building’s Energy Consumption Prediction Using Artificial Neural Networks, ANFIS, and LSTM Network
by: Dimitrios K. Panagiotou, et al.
Published: (2022-09-01)

Enhancing Intrusion Detection with LSTM Recurrent Neural Network Optimized by Emperor Penguin Algorithm
by: Saif Wali Ali Alsudani, et al.
Published: (2023-09-01)

LSTM-based recurrent neural network provides effective short term flu forecasting
by: Alfred B. Amendolara, et al.
Published: (2023-09-01)

ECG Identification For Personal Authentication Using LSTM-Based Deep Recurrent Neural Networks
by: Beom-Hun Kim, et al.
Published: (2020-05-01)

Feasibility Study of Transfer Learning on LSTM Recurrent Neural Networks for Fiber Manufacturing Commercialization
by: Sawant, Nilay
Published: (2023)

Robust Feature Selection With LSTM Recurrent Neural Networks for Artificial Immune Recognition System
by: Canan Batur Sahin, et al.
Published: (2019-01-01)

Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks
by: Sameh Mahjoub, et al.
Published: (2022-05-01)

LSTM neural network techniques-based analytical predictive models for wind energy and mechanical power
by: Aladdin Masri, et al.
Published: (2022-12-01)

On Hourly Forecasting Heating Energy Consumption of HVAC with Recurrent Neural Networks
by: Iivo Metsä-Eerola, et al.
Published: (2022-07-01)

Prediction of Key Parameters of Wheelset Based on LSTM Neural Network
by: Duo Ye, et al.
Published: (2023-10-01)

Business Purchase Prediction Based on XAI and LSTM Neural Networks
by: Bratislav Predić, et al.
Published: (2023-11-01)

Spatiotemporal prediction of air quality based on LSTM neural network
by: Dewen Seng, et al.
Published: (2021-04-01)

Assessment of Offshore Wind Power Potential and Wind Energy Prediction Using Recurrent Neural Networks
by: Chih-Chiang Wei, et al.
Published: (2024-02-01)

Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks
by: Faraz Malik Awan, et al.
Published: (2020-07-01)

EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network
by: Michele Alessandrini, et al.
Published: (2022-05-01)

LSTM recurrent neural network classifier for high impedance fault detection in solar PV integrated power system
by: Veerasamy, Veerapandiyan, et al.
Published: (2021)

LSTM Recurrent Neural Network Classifier for High Impedance Fault Detection in Solar PV Integrated Power System
by: Veerapandiyan Veerasamy, et al.
Published: (2021-01-01)

Predicting Coordination Variability of Selected Lower Extremity Couplings during a Cutting Movement: An Investigation of Deep Neural Networks with the LSTM Structure
by: Enze Shao, et al.
Published: (2022-08-01)

Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction
by: Davi Guimarães da Silva, et al.
Published: (2023-11-01)

Forecasting of the Prevalence of Dementia Using the LSTM Neural Network in Taiwan
by: Stephanie Yang, et al.
Published: (2021-02-01)