Výsledky vyhledávání - "Orthogonal array tuning method"

GOAT method: Green Orthogonal Array Tuning method

Autoři: Nevena Ranković Dragica Ranković

Zdroj: Alexandria Engineering Journal, Vol 133, Iss , Pp 13-41 (2025)

Témata: Hyper-parameter optimization, Robust design of experiment, Orthogonal array tuning method, Eco-efficiency, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S111001682501107X; https://doaj.org/toc/1110-0168

Přístupová URL adresa: https://doaj.org/article/06c08a44149c4f938d842548277d057e

Multi-step-ahead and interval carbon price forecasting using transformer-based hybrid model.

Autoři: Yue, Wang Zhong, Wang Xiaoyi, Wang a další

Zdroj: Environmental Science & Pollution Research; Sep2023, Vol. 30 Issue 42, p95692-95719, 28p

Témata: CARBON pricing, HILBERT-Huang transform, FORECASTING, CARBON offsetting, ORTHOGONAL arrays

Geografický termín: CHINA

A robust deep learning framework for short-term wind power forecast of a full-scale wind farm using atmospheric variables.

Autoři: Meka, Rajitha Alaeddini, Adel Bhaganagar, Kiran

Zdroj: Energy. Apr2021, Vol. 221, pN.PAG-N.PAG. 1p.

Témata: *WIND power, *WIND power plants, *WIND forecasting, *OFFSHORE wind power plants, *WIND turbines, *TIME-varying networks

Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition.

Autoři: Deng, Changrui Huang, Yanmei Hasan, Najmul a další

Zdroj: Information Sciences. Aug2022, Vol. 607, p297-321. 25p.

Témata: *STOCK price indexes, *STOCK price forecasting, *HANG Seng Index, HILBERT-Huang transform, ORTHOGONAL arrays

Korporace: SHANGHAI Stock Exchange

Wind speed and wind power forecasting models.

Autoři: Lydia, M. Edwin Prem Kumar, G. Akash, R.

Zdroj: Energy & Environment; Dec2025, Vol. 36 Issue 8, p3677-3713, 37p

A method for composite activation functions in deep learning for object detection.

Autoři: Liao, Jing Yu, Chang Jiang, Lei a další

Zdroj: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-11, 11p

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning

Autoři: Zhang, Xiang Chen, Xiaocong Yao, Lina a další

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1907.13359

Parameter selection for long short-term memory networks with multi-criteria decision-making tools: an application for G7 countries stock market forecasting.

Autoři: Ozcalici, Mehmet Bumin, Mete

Zdroj: Neural Computing & Applications; Dec2024, Vol. 36 Issue 36, p22731-22771, 41p

Témata: HILBERT-Huang transform, STOCK price indexes, TOPSIS method, MARKETING forecasting, MULTIPLE criteria decision making

Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning.

Autoři: Mamalakis, Michail Banerjee, Abhirup Ray, Surajit a další

Zdroj: Neural Computing & Applications; Oct2024, Vol. 36 Issue 30, p18841-18862, 22p

Témata: ARTIFICIAL intelligence, NOSOLOGY, ANIMAL classification, COMPUTER vision, IMAGE recognition (Computer vision), DEEP learning

Graph based transfer learning with orthogonal tunning for functionality size insights.

Autoři: Ranković, Nevena Ranković, Dragica Nápoles, Gonzalo a další

Zdroj: Automated Software Engineering; Jun2026, Vol. 33 Issue 1, p1-35, 35p

Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature.

Autoři: Mohammed, Foziya Ahmed Tune, Kula Kekeba Assefa, Beakal Gizachew a další

Zdroj: Machine Learning & Knowledge Extraction; Mar2024, Vol. 6 Issue 1, p699-735, 37p

Témata: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, DIAGNOSTIC imaging, MACHINE learning, MEDICAL coding

Multi-step-ahead and interval carbon price forecasting using transformer-based hybrid model

Autoři: Wang, Yue Wang, Zhong Wang, Xiaoyi a další

Zdroj: Environmental Science and Pollution Research. 30:95692-95719

Témata: China, 7. Clean energy, Carbon, Forecasting

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37558913

Achieving generalization of deep learning models in a quick way by adapting T-HTR learning rate scheduler.

Autoři: Vidyabharathi, D Mohanraj, V Kumar, J Senthil a další

Zdroj: Personal & Ubiquitous Computing; Jun2023, Vol. 27 Issue 3, p1335-1353, 19p

Témata: DEEP learning, GENERALIZATION, LEARNING

The analysis and optimization of CNN Hyperparameters with fuzzy tree model for image classification.

Autoři: UYAR, Kübra TAŞDEMİR, Şakir ÖZKAN, İlker Ali

Zdroj: Turkish Journal of Electrical Engineering & Computer Sciences; 2022, Vol. 30 Issue 3, p961-977, 17p

Témata: CONVOLUTIONAL neural networks, FUZZY logic, LUNGS, ANIMAL training, CLASSIFICATION

Automatic Human Detection Using Reinforced Faster-RCNN for Electricity Conservation System.

Autoři: Ushasukhanya, S. Karthikeyan, M.

Zdroj: Intelligent Automation & Soft Computing; 2022, Vol. 32 Issue 2, p1261-1275, 15p

Témata: ELECTRIC power conservation, DEEP learning, ARDUINO (Microcontroller), SUPPLY & demand, CLOSED-circuit television, MATHEMATICAL optimization

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting.

Autoři: Jalali, Seyed Mohammad Jafar Osorio, Gerardo J. Ahmadian, Sajad a další

Zdroj: IEEE Transactions on Industry Applications; Jan/Feb2022, Vol. 58 Issue 1, p15-27, 13p

Témata: WIND power, WIND forecasting, REINFORCEMENT learning, ENERGY development, EVOLUTIONARY algorithms, DEEP learning, ELECTRIC power distribution grids

A Novel Deep Learning Based Model for Tropical Intensity Estimation and Post-Disaster Management of Hurricanes.

Autoři: Devaraj, Jayanthi Ganesan, Sumathi Elavarasan, Rajvikram Madurai a další

Zdroj: Applied Sciences (2076-3417); May2021, Vol. 11 Issue 9, p4129, 39p

Témata: EMERGENCY management, HAZARD mitigation, DEEP learning, HURRICANE forecasting, TROPICAL cyclones, SEVERE storms, CONVOLUTIONAL neural networks, HURRICANES

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.

Autoři: Zhang, Xiang Yao, Lina Dong, Manqing a další

Zdroj: IEEE Journal of Biomedical & Health Informatics; Oct2020, Vol. 24 Issue 10, p2852-2859, 8p

Témata: EPILEPSY, ARTIFICIAL neural networks, SEIZURES (Medicine), MEDICAL records, NEUROLOGICAL disorders, BRAIN-computer interfaces, ELECTROENCEPHALOGRAPHY

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning

Autoři: Lina Yao Xiang Zhang Xiaocong Chen a další

Zdroj: Communications in Computer and Information Science ISBN: 9783030368074

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/1907.13359
http://arxiv.org/abs/1907.13359
https://link.springer.com/chapter/10.1007/978-3-030-36808-1_31
http://ui.adsabs.harvard.edu/abs/2019arXiv190713359Z/abstract
https://rd.springer.com/chapter/10.1007/978-3-030-36808-1_31
https://doi.org/10.1007/978-3-030-36808-1_31
https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-13359

Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions.

Autoři: Rankovic, Nevena Rankovic, Dragica Ivanovic, Mirjana a další

Zdroj: Entropy; Jul2021, Vol. 23 Issue 7, p854, 1p

Témata: ARTIFICIAL neural networks, TAGUCHI methods, PROBLEM solving, TIME perception, ORTHOGONAL functions