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检索条件"主题词=evolutionary neural architecture search"
26 条 记 录,以下是11-20 订阅
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Gated Recurrent Unit neural Networks for Wind Power Forecasting based on Surrogate-Assisted evolutionary neural architecture search  12
Gated Recurrent Unit Neural Networks for Wind Power Forecast...
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IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
作者: Zhang, Kehao Jin, Huaiping Jin, Huaikang Wang, Bin Yu, Wangyang Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming 650500 Peoples R China Kunming Univ Sci & Technol Yunnan Key Lab Artificial Intelligence Kunming 650500 Peoples R China Huaneng Renewables Co Ltd Yunnan Branch Kunming 650000 Peoples R China Wuhan Maritime Commun Res Inst Wuhan 430233 Peoples R China
Wind energy has become an important part of national power systems due to its wide distribution, low cost, and non-polluting characteristics. However, the intermittence, randomness, and fluctuating of wind energy make... 详细信息
来源: 评论
Anomaly detection in time-series data using evolutionary neural architecture search with non-differentiable functions
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APPLIED SOFT COMPUTING 2024年 155卷
作者: Gomez-Rosero, Santiago Capretz, Miriam A. M. Western Univ Dept Elect & Comp Engn London ON N6A 3K7 Canada
Deep neural networks have become the benchmark in diverse fields such as energy consumption forecasting, speech recognition, and anomaly detection, owing to their ability to efficiently process and analyse data. Howev... 详细信息
来源: 评论
Wind power forecasting based on ensemble deep learning with surrogate-assisted evolutionary neural architecture search and many-objective federated learning
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ENERGY 2024年 308卷
作者: Jin, Huaiping Zhang, Kehao Fan, Shouyuan Jin, Huaikang Wang, Bin Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming 650500 Peoples R China Kunming Univ Sci & Technol Higher Educ Key Lab Ind Intelligence & Syst Yunnan Kunming 650500 Peoples R China China Resources New Energy Investment Co Ltd Sichuan Branch Chengdu 610066 Sichuan Peoples R China China Energy Engn Grp Yunnan Elect Power Design In Kunming 650051 Peoples R China Huaneng Renewables Co Ltd Yunnan Branch Kunming 655000 Peoples R China
Deep neural networks (DNN) have been widely used in wind power forecasting (WPF), however, they still encounter difficulties such as delayed variable selection, DNN architecture design, and network weight optimization... 详细信息
来源: 评论
Hybrid architecture-Based evolutionary Robust neural architecture search
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2024年 第4期8卷 2919-2934页
作者: Yang, Shangshang Sun, Xiangkun Xu, Ke Liu, Yuanchao Tian, Ye Zhang, Xingyi Anhui Univ Sch Artificial Intelligence Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230601 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Anhui Univ Sch Comp Sci & Technol Informat Mat & Intelligent Sensing Lab Anhui Prov Hefei 230601 Peoples R China
The robustness of neural networks in image classification is important to resist adversarial attacks. Although many researchers proposed to enhance the network robustness by inventing network training paradigms or des... 详细信息
来源: 评论
Deep Learning Wind Power Forecasting Method Integrating architecture Comparison-based evolutionary neural architecture search
Deep Learning Wind Power Forecasting Method Integrating Arch...
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第43届中国控制会议
作者: Wang Zhou Yundong Cao Huaikang Jin Shouyuan Fan Bin Wang Huaiping Jin Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and Technology Huaneng Renewables Co. Ltd.Yunnan Branch China Energy Engineering Group Yunnan Electric Power Design Institute
Wind energy has become an important part of the power system due to its versatility,low cost,and environmental ***,the instability and volatility of wind energy pose a huge challenge to the grid-connected operation of... 详细信息
来源: 评论
Accelerating Gene-pool Optimal Mixing evolutionary Algorithm for neural architecture search with Synaptic Flow
Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Khoa Huu Tran Luc Truong An Vo Ngoc Hoang Luong Univ Informat Technol Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Vietnam
This study experiments the integration of the zero-cost proxy metric Synaptic Flow with the Gene-pool Optimal Mixing (GOM) crossover to efficiently generate new candidates during an evolutionary neural architecture se... 详细信息
来源: 评论
Speeding up the Multi-objective NAS Through Incremental Learning  23rd
Speeding up the Multi-objective NAS Through Incremental Lear...
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23rd Mexican International Conference on Artificial Intelligence
作者: Garcia-Garcia, Cosijopii Derbel, Bilel Morales-Reyes, Alicia Jair Escalante, Hugo Inst Nacl Astrofis Opt & Electr Luis Enrique Erro 1 Cholula 72840 Puebla Mexico Univ Lille CNRS Inria Cent LilleUMR 9189 CRIStAL F-59000 Lille France
Deep neural networks (DNNs), particularly convolutional neural networks (CNNs), have garnered significant attention in recent years for addressing a wide range of challenges in image processing and computer vision. Ne... 详细信息
来源: 评论
An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition
An evolutionary search algorithm for efficient ResNet-based ...
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IEEE Congress on evolutionary Computation (CEC)
作者: Fernandes da Silva, Andre Ramos Pavelski, Lucas Marcondes Queiroz Cordovil Junior, Luiz Alberto de Oliveira Gomes, Paulo Henrique Azevedo, Layane Menezes Fernandes Junior, Francisco Erivaldo Sidia R&D Inst Retail Management Syst Res Grp Sidia Amazon TowerDarcy Vargas Ave 654 BR-69055035 Manaus Amazonas Brazil
neural architecture search (NAS) is a busy research field growing exponentially in recent years. State-of-the-art deep neural networks usually require a specialist to fine-tune the model to solve a specific problem. N... 详细信息
来源: 评论
An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover
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SWARM AND evolutionary COMPUTATION 2024年 86卷
作者: Shang, Ronghua Liu, Hangcheng Li, Wenzheng Zhang, Weitong Ma, Teng Jiao, Licheng Xidian Univ Sch Artificial Intelligence Key Lab Intelligent Percept & Image Understanding Minist Educ Xian Shaanxi Peoples R China Xidian Univ Guangzhou Inst Technol Guangzhou Guangdong Peoples R China Air Force Engn Univ Informat & Nav Coll Xian Shaanxi Peoples R China
Variational autoencoder is a commonly unsupervised learning model. However, its complex structure hinders the utilization of the network architecture search algorithm to release researchers from tedious manual design.... 详细信息
来源: 评论
evolutionary architecture search via adaptive parameter control and gene potential contribution
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SWARM AND evolutionary COMPUTATION 2023年 82卷
作者: Shang, Ronghua Zhu, Songling Liu, Hangcheng Ma, Teng Zhang, Weitong Feng, Jie Jiao, Licheng Stolkin, Rustam Xidian Univ Sch Artificial Intelligence Key Lab Intelligent Percept & Image Understanding Minist Educ Xian 710071 Shaanxi Peoples R China AF Engn Univ Coll Informat & Nav Xian 710071 Shaanxi Peoples R China Univ Birmingham Birmingham England
evolutionary neural architecture search (ENAS) algorithms benefit from the non-convex optimization capability of evolutionary computation. However, most ENAS algorithms use a genetic algorithm (GA) with fixed paramete... 详细信息
来源: 评论