FL-CNN-LSTM: Indoor Air Quality Prediction Using Fuzzy Logic and CNN-LSTM Model-Reference-Cited by-同舟云学术

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FL-CNN-LSTM: Indoor Air Quality Prediction Using Fuzzy Logic and CNN-LSTM Model

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Electrical Engineering and Control Science (IC2ECS)
language:
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Author:

Bao Ruiming¹,Zhou Yulong²,Jiang Wenrong³

Affiliation:

1. Shanghai Polytechnic University,School of Resources and Environmental Engineering,Shanghai,China

2. Yunnan University,School of Software,Kunming,China

3. Shanghai Polytechnic University,School of Computer and Information Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10087340/10087898/10088050.pdf?arnumber=10088050

Reference19 articles.

1. Vision Based Dynamic Thermal Comfort Control Using Fuzzy Logic and Deep Learning

2. Air quality prediction by neuro-fuzzy modeling approach

3. MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

4. Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain

5. A Deep Neuro-Fuzzy Network for Image Classification;yazdanbakhsh;ArXiv,2019

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1. Intelligent Factory with Environment Quality Control Based on Fuzzy Method through Deep Reinforcement Learning;Sensors and Materials;2024-08-29

2. A Fuzzy Convolutional Neural Network for the Classification of Aerosol Particle Mass Spectral Patterns Generated by Single-Particle Mass Spectrometry;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Revolutionising ADHD diagnosis: deep learning in 3D medical imaging;Fourth International Conference on Signal Processing and Machine Learning (CONF-SPML 2024);2024-04-01

4. Forecasting Indoor Air Quality Using Machine Learning Models;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

5. An Accelerated FPGA-Based Parallel CNN-LSTM Computing Device;IEEE Access;2024

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