AN LSTM model-based Prediction of Chaotic System: Analyzing the Impact of Training Dataset Precision on the Performance-Reference-Cited by-同舟云学术

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AN LSTM model-based Prediction of Chaotic System: Analyzing the Impact of Training Dataset Precision on the Performance

Published:2022-11-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
language:
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Author:

Nassan Wafaa Al¹,Bonny Talal¹,Obaideen Khaled²,Hammal Abd Alrhman³

Affiliation:

1. University of Sharjah,Computer Eng.Dept.,Sharjah,United Arab Emirates

2. University of Sharjah,Sustainable Energy and Power Systems Research Centre, RISE,Sharjah,United Arab Emirates

3. University of Aleppo,Electrical and Computer Eng.Dept.,Aleppo,Syria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989539/9990040/09990128.pdf?arnumber=9990128

Reference22 articles.

1. A Convolutional Neural Network for Seizure Detection

2. Image Encryption Based on Chua Chaotic Oscillator

3. GLOBAL SYNCHRONIZATION OF COUPLED DELAYED NEURAL NETWORKS AND APPLICATIONS TO CHAOTIC CNN MODELS

4. Chaotic Oscillator Prediction Based on Artificial Neural Network and its Realization on FPGA

5. Restoring chaos using deep reinforcement learning

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1. Unscented Kalman filter in chaotic digital communication: a robust spread;Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII;2024-06-07

2. Data-driven techniques for signal recovery and decryption;Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII;2024-06-07

3. Comparative analysis and FPGA realization of different control synchronization approaches for chaos-based secured communication systems;PLOS ONE;2024-01-23

4. A New Chaotic System With Two Stable Node-Foci Equilibria and an Unstable Saddle-Focus Equilibrium: Bifurcation and Multistability Analysis, Circuit Design, Voice Cryptosystem Application, and FPGA Implementation;IEEE Access;2024

5. Dental bitewing radiographs segmentation using deep learning-based convolutional neural network algorithms;Oral Radiology;2023-12-04

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