Suchergebnisse - "dynamic state transition algorithm"

A dynamic state transition algorithm with application to sensor network localization

Autoren: Zhou, Xiaojun Shi, Peng Lim, Cheng-Chew et al.

Quelle: Neurocomputing. 273:237-250

Schlagwörter: global search, 0209 industrial biotechnology, algorithm, global optimization, Probability (math.PR), SNL problem, dynamic adjustment, sensor network localization, 02 engineering and technology, sensors, State transition algorithm, 0906 Electrical and Electronic Engineering, optimality, Optimization and Control (math.OC), 0102 Applied Mathematics, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, fast rotation transformation, Institute for Sustainability and Innovation (ISI), optimization problem, Mathematics - Optimization and Control, Mathematics - Probability

Zugangs-URL: http://arxiv.org/pdf/1511.03414
http://arxiv.org/abs/1511.03414
https://dblp.uni-trier.de/db/journals/ijon/ijon273.html#ZhouSLYG18
https://arxiv.org/pdf/1511.03414
https://vuir.vu.edu.au/37296/
https://doi.org/10.1016/j.neucom.2017.08.010
https://digital.library.adelaide.edu.au/dspace/handle/2440/132660
https://arxiv.org/abs/1511.03414

Augmented Reality based Dynamic State Transition Algorithm using the 3-Axis Accelerometer Sensor

Autoren: Yu-Na Jang Sung-Jun Park

Quelle: The Journal of the Korea Contents Association. 10:86-93

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: http://www.ndsl.kr/soc_img/society/kocon/CCTHCV/2010/v10n10/CCTHCV_2010_v10n10_86.pdf
http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=CCTHCV_2010_v10n10_86

Wind Turbine Pitch System Fault Detection Using ssODM-DSTA

Autoren: Mingzhu Tang Jiahao Hu Huawei Wu et al.

Quelle: Frontiers in Energy Research, Vol 9 (2021)

Schlagwörter: fault detection, wind turbine, pitch system, dynamic state transition algorithm, semi-supervised optimal margin distribution machine, random forest, General Works

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2021.750983/full; https://doaj.org/toc/2296-598X

Zugangs-URL: https://doaj.org/article/0a1f3da3fcfe459c869dfec365b04e11

Using deep forest regression and multi-layer state transition algorithm to soft measuring modeling with small sample data: Using deep forest regression and multi-layer state transition algorithm to...: H. Xia et al.

Autoren: Xia, Heng Tang, Jian Yu, Wen

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Feb2025, Vol. 29 Issue 3, p1587-1603. 17p.

Schlagwörter: *KEY performance indicators (Management), *MANUFACTURING processes, *ALGORITHMS, *PROBABILITY theory

A fast optimization approach for seeking Nash equilibrium based on Nikaido–Isoda function, state transition algorithm and Gauss–Seidel technique.

Autoren: Zhou, Xiaojun Wang, Zheng Huang, Tingwen

Quelle: Neurocomputing. Feb2025, Vol. 616, pN.PAG-N.PAG. 1p.

Schlagwörter: *NASH equilibrium, *QUADRATIC programming, *ALGORITHMS, *GAMES

Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults.

Autoren: Maestro-Prieto, Jose Alberto Ramírez-Sanz, José Miguel Bustillo, Andrés et al.

Quelle: Applied Intelligence; Mar2024, Vol. 54 Issue 6, p4525-4544, 20p

Schlagwörter: SUPERVISED learning, GEARBOXES, FAILURE mode & effects analysis, FAILURE (Psychology), ALGORITHMS

Deep Forest Regression Based on Dynamic State Transition Optimization Algorithm

Autoren: Junfei Qiao Heng Xia Jian Tang

Quelle: 2020 Chinese Automation Congress (CAC). :3786-3791

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9327803
http://xplorestaging.ieee.org/ielx7/9326315/9326464/09327803.pdf?arnumber=9327803

Compensation Method for Molten Iron Temperature Measurement Based on Heterogeneous Features of Infrared Thermal Images.

Autoren: Pan, Dong Jiang, Zhaohui Chen, Zhipeng et al.

Quelle: IEEE Transactions on Industrial Informatics; Nov2020, Vol. 16 Issue 11, p7056-7066, 11p

Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem.

Autoren: Zhou, Xiaojun Zhang, Rundong Wang, Xiangyue et al.

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Oct2020, Vol. 24 Issue 20, p15507-15518, 12p

Schlagwörter: ALGORITHMS, FUZZY sets, FUZZY algorithms, KERNEL functions, EUCLIDEAN distance, PATTERN recognition systems

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.

Autoren: Huang, Zhaoke Yang, Chunhua Chen, Xiaofang et al.

Quelle: Neural Computing & Applications; Jun2020, Vol. 32 Issue 11, p7183-7199, 17p

Schlagwörter: ALUMINUM, CLASSIFICATION, SAMPLING methods

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.

Autoren: Huang, Zhaoke Yang, Chunhua Zhou, Xiaojun et al.

Quelle: Cognitive Computation; Mar2020, Vol. 12 Issue 2, p357-368, 12p

A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF.

Autoren: Huang, Zhaoke Yang, Chunhua Zhou, Xiaojun et al.

Quelle: IEEE Journal of Biomedical & Health Informatics; Sep2019, Vol. 23 Issue 5, p1888-1898, 11p

Schlagwörter: FEATURE selection, ALGORITHMS, NP-hard problems, DATA mining, WRAPPERS

Dynamic optimization based on state transition algorithm for copper removal process.

Autoren: Huang, Miao Zhou, Xiaojun Huang, Tingwen et al.

Quelle: Neural Computing & Applications; Jul2019, Vol. 31 Issue 7, p2827-2839, 13p

Schlagwörter: ZINC powder, ZINC sulfate, COPPER ions, HYDROMETALLURGY, INDUSTRIAL costs, COPPER-zinc alloys

A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem.

Autoren: Huang, Zhaoke Yang, Chunhua Zhou, Xiaojun et al.

Quelle: Cognitive Computation; Oct2018, Vol. 10 Issue 5, p816-826, 11p

A Two-stage State Transition Algorithm for Constrained Engineering Optimization Problems.

Autoren: Han, Jie Yang, Chunhua Zhou, Xiaojun et al.

Quelle: International Journal of Control, Automation & Systems; Apr2018, Vol. 16 Issue 2, p522-534, 13p

Fractional order PID optimal control in pH neutralization process.

Autoren: L H Tong Y G Li H Q Zhu et al.

Quelle: IOP Conference Series: Earth & Environmental Science; Jan2020, Vol. 427 Issue 1, p1-1, 1p

Optimization of Wireless Sensor Networks Deployment Based on Probabilistic Sensing Models in a Complex Environment.

Autoren: Argany, Meysam Karimipour, Farid Mafi, Fatemeh et al.

Quelle: Journal of Sensor & Actuator Networks; Jun2018, Vol. 7 Issue 2, p20, 1p

Schlagwörter: INTERNET of things, COMBINATORIAL optimization, WIRELESS sensor networks, PROBLEM solving, SIMULATION methods & models

Introduction to Sensors in IoT and Cloud Computing Applications

Autoren: Ambika, Nagaraj

Resource Type: eBook.

Schlagworte: Cloud computing, Internet of things, Detectors

Categories: COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Sensors