Cargando…

Nonlinear Hyperparameter Optimization of a Neural Network in Image Processing for Micromachines

Deep neural networks are widely used in the field of image processing for micromachines, such as in 3D shape detection in microelectronic high-speed dispensing and object detection in microrobots. It is already known that hyperparameters and their interactions impact neural network model performance...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shen, Mingming, Yang, Jing, Li, Shaobo, Zhang, Ansi, Bai, Qiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704841/ https://www.ncbi.nlm.nih.gov/pubmed/34945353 http://dx.doi.org/10.3390/mi12121504

Ejemplares similares

Parsimonious Optimization of Multitask Neural Network Hyperparameters
por: Valsecchi, Cecile, et al.
Publicado: (2021)

Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes
por: Motta, Daniel, et al.
Publicado: (2020)

Neural network hyperparameter optimization for prediction of real estate prices in Helsinki
por: Kalliola, Jussi, et al.
Publicado: (2021)

Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks
por: Blume, Sebastian, et al.
Publicado: (2021)

Trajectory Planning of Robot Manipulator Based on RBF Neural Network
por: Song, Qisong, et al.
Publicado: (2021)

Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity Evaluation
por: Zhu, Guanghui, et al.
Publicado: (2020)

Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting
por: Zulfiqar, M., et al.
Publicado: (2022)

Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction
por: Appadurai, Jothi Prabha, et al.
Publicado: (2023)

A Siamese Vision Transformer for Bearings Fault Diagnosis
por: He, Qiuchen, et al.
Publicado: (2022)

Hyperparameter Optimization of a Convolutional Neural Network Model for Pipe Burst Location in Water Distribution Networks
por: Antunes, André, et al.
Publicado: (2023)

Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design
por: Parsa, Maryam, et al.
Publicado: (2020)

Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms
por: Krasteva, Vessela, et al.
Publicado: (2020)

An Optimized Hyperparameter of Convolutional Neural Network Algorithm for Bug Severity Prediction in Alzheimer's-Based IoT System
por: Yousaf, Iqra, et al.
Publicado: (2022)

Optimizing Image Classification: Automated Deep Learning Architecture Crafting with Network and Learning Hyperparameter Tuning
por: Ang, Koon Meng, et al.
Publicado: (2023)

Early Diagnosis of COVID-19 Images Using Optimal CNN Hyperparameters
por: Saad, Mohamed H., et al.
Publicado: (2022)

A Transfer-Based Convolutional Neural Network Model with Multi-Signal Fusion and Hyperparameter Optimization for Pump Fault Diagnosis
por: Zhang, Zhigang, et al.
Publicado: (2023)

Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network
por: Sikander, Rahu, et al.
Publicado: (2022)

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot
por: Song, Qisong, et al.
Publicado: (2021)

Robust optimization of SVM hyperparameters in the classification of bioactive compounds
por: Czarnecki, Wojciech M, et al.
Publicado: (2015)

Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning
por: Agrawal, Shaashwat, et al.
Publicado: (2021)

Hyperparameter optimization of data-driven AI models on HPC systems
por: Wulff, Eric, et al.
Publicado: (2023)

Disease prediction via Bayesian hyperparameter optimization and ensemble learning
por: Gao, Liyuan, et al.
Publicado: (2020)

Heuristic hyperparameter optimization of deep learning models for genomic prediction
por: Han, Junjie, et al.
Publicado: (2021)

Mixed Script Identification Using Automated DNN Hyperparameter Optimization
por: Yasir, Muhammad, et al.
Publicado: (2021)

Learning hyperparameter predictors for similarity-based multidisciplinary topology optimization
por: Bujny, Mariusz, et al.
Publicado: (2023)

Hyperparameter optimization for cardiovascular disease data-driven prognostic system
por: Saputra, Jayson, et al.
Publicado: (2023)

Hyperparameter Tuning of Artificial Neural Networks for Well Production Estimation Considering the Uncertainty in Initialized Parameters
por: Jin, Miao, et al.
Publicado: (2022)

An Investigation of Processes for Glass Micromachining
por: Van Toan, Nguyen, et al.
Publicado: (2016)

HOMLC-Hyperparameter Optimization for Multi-Label Classification of Intrusion Detection Data for Internet of Things Network
por: Sharma, Ankita, et al.
Publicado: (2023)

Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization
por: Liang, Mang, et al.
Publicado: (2022)

Optimization of Nozzle Inclination and Process Parameters in Air-Shielding Electrochemical Micromachining
por: Wang, Minghuan, et al.
Publicado: (2019)

Hyperparameter Optimization for Deep Learning Models Using High Performance Computing
por: Wulff, Eric
Publicado: (2023)

Hyperparameter Optimization for Deep Learning Models Using High Performance Computing
por: Wulff, Eric
Publicado: (2023)

Hyperparameter Optimization for COVID-19 Pneumonia Diagnosis Based on Chest CT
por: Lacerda, Paulo, et al.
Publicado: (2021)

Optimal Tuning of Random Survival Forest Hyperparameter with an Application to Liver Disease
por: Dauda, Kazeem Adesina
Publicado: (2022)

Multi-objective hyperparameter optimization on gradient-boosting for breast cancer detection
por: Singh, Priya, et al.
Publicado: (2023)

Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm
por: Ashraf, Nesma M., et al.
Publicado: (2021)

A Bayesian Hyperparameter Inference for Radon-Transformed Image Reconstruction
por: Shouno, Hayaru, et al.
Publicado: (2011)

System Error Compensation Methodology Based on a Neural Network for a Micromachined Inertial Measurement Unit
por: Liu, Shi Qiang, et al.
Publicado: (2016)

Accuracy enhancement technologies for micromachining processes
por: Kibria, Golam, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_f5k94mbvndi1k5u285qm91j5hs