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Refinado por: assunto: Computer Science remover assunto: Genetic Algorithm remover
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A new financial data forecasting model using genetic algorithm and long short-term memory network
A new financial data forecasting model using genetic algorithm and long short-term memory network
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A new financial data forecasting model using genetic algorithm and long short-term memory network

Huang, Yusheng ; Gao, Yelin ; Gan, Yan ; Ye, Mao

Neurocomputing (Amsterdam), 2021-02, Vol.425, p.207-218 [Periódico revisado por pares]

Elsevier B.V

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Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
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Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm

Luo, X.J. ; Oyedele, Lukumon O.

Advanced engineering informatics, 2021-10, Vol.50, p.101357, Article 101357 [Periódico revisado por pares]

Elsevier Ltd

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3
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
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Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm

Kara, Ahmet

Expert systems with applications, 2021-10, Vol.180, p.115153, Article 115153 [Periódico revisado por pares]

New York: Elsevier Ltd

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4
Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks
Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks
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Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

Muhuri, Pramita Sree ; Chatterjee, Prosenjit ; Yuan, Xiaohong ; Roy, Kaushik ; Esterline, Albert

Information (Basel), 2020-05, Vol.11 (5), p.243 [Periódico revisado por pares]

MDPI AG

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5
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization
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Control chart recognition based on the parallel model of CNN and LSTM with GA optimization

Yu, Yaoxiang ; Zhang, Min

Expert systems with applications, 2021-12, Vol.185, p.115689, Article 115689 [Periódico revisado por pares]

New York: Elsevier Ltd

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6
DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques
DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques
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DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques

Kansal, Sachin ; Garg, Dhruv ; Upadhyay, Aditya ; Mittal, Snehil ; Talwar, Guneet Singh

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.106990, Article 106990 [Periódico revisado por pares]

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Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting
Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting
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Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting

Zhang, Shuai ; Zhu, Kun ; Zhang, Wenyu

IEEE transactions on knowledge and data engineering, 2023-03, Vol.35 (3), p.2847-2858 [Periódico revisado por pares]

New York: IEEE

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8
Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities
Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities
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Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities

Saheed, Yakub Kayode ; Abdulganiyu, Oluwadamilare Harazeem ; Tchakoucht, Taha Ait

Applied soft computing, 2024-04, Vol.155, p.111434, Article 111434 [Periódico revisado por pares]

Elsevier B.V

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9
Combining process-based and data-driven approaches to forecast beach and dune change
Combining process-based and data-driven approaches to forecast beach and dune change
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Combining process-based and data-driven approaches to forecast beach and dune change

Itzkin, Michael ; Moore, Laura J. ; Ruggiero, Peter ; Hovenga, Paige A. ; Hacker, Sally D.

Environmental modelling & software : with environment data news, 2022-07, Vol.153, p.105404, Article 105404 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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10
An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
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An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting

Kumar, Gourav ; Singh, Uday Pratap ; Jain, Sanjeev

Soft computing (Berlin, Germany), 2022-11, Vol.26 (22), p.12115-12135 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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