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An Enhanced Cooling Method for Power Modules on All-Electric Ships Based on Parameter Optimization and Special-Shaped Design of Sintered Heat Pipes. [PDF]

Micromachines (Basel)
Wang B, Lu T, Wu Q, Yao B, Zhang H, Zhou X, Liu W.   +6 more
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Improvement of Classification Accuracy in Machine Learning Algorithm by Hyper-Parameter Optimization

2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), 2023
The manual optimization of hyperparameters is a straightforward and well-known approach, but it is not scalable, particularly when there are several settings and options.
S. Senthil Pandi, V. Chiranjeevi, Kumaragurubaran T, Kumar P   +3 more
semanticscholar   +1 more source

Multiscenarios Parameter Optimization Method for Active Disturbance Rejection Control of PMSM Based on Deep Reinforcement Learning

IEEE transactions on industrial electronics (1982. Print), 2023
In this article, a multiscenario parameter optimization method for an active disturbance rejection controller (ADRC) of a permanent magnet synchronous motor (PMSM) based on deep reinforcement learning (DRL) is proposed as MSPO-DRL.
Yicheng Wang, Shuhua Fang, Jianxiong Hu, Demin Huang   +3 more
semanticscholar   +1 more source

Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic

Measurement science and technology, 2022
With the rapid development of industrial informatization and deep learning technology, modern data-driven fault diagnosis (MIFD) methods based on deep learning have been receiving attention from the industry.
Hongfeng Tao, Long Chen, Jier Qiu, Stojanovic Vladimir   +3 more
semanticscholar   +1 more source

Rolling Bearing Compound Fault Diagnosis Based on Parameter Optimization MCKD and Convolutional Neural Network

IEEE Transactions on Instrumentation and Measurement, 2022
For the sake of solving the problem of the difficulty of extracting fault features under the background of noise and accurately identify the state of the bearing, a compound fault diagnosis method of rolling bearing based on parameter optimization ...
Shuzhi Gao, Shuo Shi, Yimin Zhang
semanticscholar   +1 more source

Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation

Proceedings of the VLDB Endowment, 2021
Recently, using automatic configuration tuning to improve the performance of modern database management systems (DBMSs) has attracted increasing interest from the database community.
Xinyi Zhang, Z. Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui   +6 more
semanticscholar   +1 more source

A Two-Stage Parameter Optimization Method for Capacitive Power Transfer Systems

IEEE transactions on power electronics, 2022
Wireless power transfer (WPT) is more convenient and safer than conductive charging for power consumer electronics, biomedical devices, transportation systems, etc.
Jinglin Xia, Xinmei Yuan, Sizhao Lu, Jun Li, Shuling Luo, Siqi Li   +5 more
semanticscholar   +1 more source

A Novel Parameter Optimization Metaheuristic: Human Habitation Behavior Based Optimization

International Conferences on Contemporary Computing and Informatics, 2022
Parameters have great impact on the performance of an optimization algorithm. This paper concerns parameter tuning for metaheuristics which are stochastic optimization algorithms. A novel, fast, and very simple population-based metaheuristic namely Human
Divya Jain, Mithlesh Arya, Varun Malik, Shubhranshu Vikram Singh   +3 more
semanticscholar   +1 more source