Suchergebnisse - parallel OS-ELM algorithm

Spark-based Parallel OS-ELM Algorithm Application for Short-term Load Forecasting for Massive User Data

Autoren: Rongyan Yang Panpan Guo Yuancheng Li

Quelle: Electric Power Components and Systems. 48:603-614

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

Zugangs-URL: https://www.tandfonline.com/doi/full/10.1080/15325008.2020.1793832

Spark-based Parallel OS-ELM Algorithm Application for Short-term Load Forecasting for Massive User Data.

Autoren: Li, Yuancheng Yang, Rongyan Guo, Panpan

Quelle: Electric Power Components & Systems; 2020, Vol. 48 Issue 6/7, p603-614, 12p

Schlagwörter: LOAD forecasting (Electric power systems), PARALLEL algorithms, K-means clustering, BIG data, ALGORITHMS, EXPONENTIAL functions

An efficient parallel method for batched OS-ELM training using MapReduce.

Autoren: Huang, Shan Wang, Botao Chen, Yuemei et al.

Quelle: Memetic Computing; Sep2017, Vol. 9 Issue 3, p183-197, 15p

Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce

Autoren: Yuemei Chen Guoren Wang Ge Yu et al.

Quelle: Proceedings in Adaptation, Learning and Optimization ISBN: 9783319283968

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-319-28397-5_2/fulltext.html
https://rd.springer.com/chapter/10.1007/978-3-319-28397-5_2
https://link.springer.com/10.1007/978-3-319-28397-5_2
https://link.springer.com/chapter/10.1007/978-3-319-28397-5_2

A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks.

Autoren: Gelvez-Almeida, Elkin Mora, Marco Barrientos, Ricardo J. et al.

Quelle: Mathematical & Computational Applications; Jun2024, Vol. 29 Issue 3, p40, 33p

Schlagwörter: MACHINE learning, FEEDFORWARD neural networks, ARTIFICIAL neural networks, ELECTRONIC data processing, PARALLEL processing, LINEAR systems

ELM-GA-Based Active Comfort Control of a Piggyback Transfer Robot.

Autoren: Feng, Liyan Wang, Xinping Liu, Teng et al.

Quelle: Machines; Aug2025, Vol. 13 Issue 8, p748, 21p

Schlagwörter: HUMAN-robot interaction, ARTIFICIAL neural networks, EXTREME learning machines, BIOMECHANICS, MEDICAL robotics, GENETIC algorithms

Application of Data Mining Algorithm in Electric Power Marketing Inspection Forecast Analysis.

Autoren: Wu, Weijiang Xu, Gaojun Qian, Xusheng et al.

Quelle: International Transactions on Electrical Energy Systems; 8/28/2022, p1-7, 7p

Schlagwörter: LOAD forecasting (Electric power systems), DATA mining, DATA extraction, ALGORITHMS, PARALLEL algorithms, CLOUD computing

Intelligent Detection of Railway Axles Fatigue Crack Using Acoustic Emission-Stacked Denoising Autoencoders.

Autoren: Lin, Li Zhao, Shuang Tang, Xiaowen et al.

Quelle: Journal of Nondestructive Evaluation; Dec2025, Vol. 44 Issue 4, p1-22, 22p

Schlagwörter: FATIGUE cracks, ACOUSTIC emission, DEEP learning, NONDESTRUCTIVE testing, DETECTION algorithms, FEATURE extraction, AXLES

Indoor Pedestrian Location via Factor Graph Optimization Based on Sliding Windows.

Autoren: Cheng, Yu Li, Haifeng Liu, Xixiang et al.

Quelle: Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5545, 24p

Schlagwörter: INDOOR positioning systems, GRAPH algorithms, DEEP learning, MICROSENSORS

Prediction of Sluice Seepage Based on Impact Factor Screening and the IKOA-BiGRU Model.

Autoren: Sun, Xiaoran Peng, Jianhe Zhang, Chunlin et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1850, 24p

Schlagwörter: PREDICTION models, LEAKAGE, STRUCTURAL engineering, FLOOD control, OPTIMIZATION algorithms, CHANNELS (Hydraulic engineering), FEATURE selection

GPU‐accelerated and mixed norm regularized online extreme learning machine.

Autoren: Polat, Önder Kayhan, Sema Koç

Quelle: Concurrency & Computation: Practice & Experience; 7/10/2022, Vol. 34 Issue 15, p1-19, 19p

Schlagwörter: MACHINE learning, ONLINE education, SEQUENTIAL learning, GRAPHICS processing units

Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce.

Autoren: Huang, Shan Wang, Botao Chen, Yuemei et al.

Quelle: Proceedings of ELM-2015 Volume 1; 2016, p13-25, 13p

System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM).

Autoren: Safaei, Amin Wu, Q. M. Jonathan Akilan, Thangarajah et al.

Quelle: IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems; Nov2019, Vol. 38 Issue 11, p2127-2138, 12p

Schlagwörter: HUMAN activity recognition, MACHINE learning, SYSTEMS on a chip, SEQUENTIAL learning, FIELD programmable gate arrays, COMPUTER architecture

Advances in Parallel Computing Algorithms, Tools and Paradigms

Autoren: D. Jude Hemanth Tu N. Nguyen J. Indumathi et al.

Resource Type: eBook.

Schlagworte: Parallel programming (Computer science)--Congresses, Parallel processing (Electronic computers)--Congresses

Categories: COMPUTERS / Computer Science

Parallel model of online sequential extreme learning machines for classification problems with large-scale databases

Autoren: Gelvez-Almeida, Elkin Barrientos, Ricardo J. Vilches-Ponce, Karina et al.

Schlagwörter: Ciencias Informáticas, Parallel computing, High performance computing, Extreme learning machine, Fingerprint classification

Dateibeschreibung: application/pdf; 19-23

Relation: http://sedici.unlp.edu.ar/handle/10915/155423

Verfügbarkeit: http://sedici.unlp.edu.ar/handle/10915/155423

Parallel ensemble of online sequential extreme learning machine based on MapReduce.

Autoren: Huang, Shan Wang, Botao Qiu, Junhao et al.

Quelle: Neurocomputing. Jan2016 Part A, Vol. 174, p352-367. 16p.

Schlagwörter: *PARALLEL computers, *SEQUENTIAL analysis, *MACHINE learning, *BIG data, *FAULT tolerance (Engineering), *ALGORITHMS

Online Sequential Extreme Learning Machine Algorithm for Better Predispatch Electricity Price Forecasting Grids.

Autoren: Xiao, Chixin Sutanto, Danny Muttaqi, Kashem M. et al.

Quelle: IEEE Transactions on Industry Applications; Mar/Apr2021, Vol. 57 Issue 2, p1860-1871, 12p

Schlagwörter: SEQUENTIAL learning, MACHINE learning, ELECTRICITY pricing, LOAD forecasting (Electric power systems), ELECTRICITY markets, PRICE fluctuations, ROLLING (Metalwork)

Accelerating ELM training over data streams.

Autoren: Ji, Hangxu Wu, Gang Wang, Guoren

Quelle: International Journal of Machine Learning & Cybernetics; 2021, Vol. 12 Issue 1, p87-102, 16p

A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine.

Autoren: Han Zou Xiaoxuan Lu Hao Jiang et al.

Quelle: Sensors (14248220); 2015, Vol. 15 Issue 1, p1804-1824, 21p

Schlagwörter: INDOOR positioning systems, IEEE 802.11 (Standard), WIRELESS communications, ALGORITHM research, DISTANCE education research

A short-term photovoltaic output power forecasting based on ensemble algorithms using hyperparameter optimization.

Autoren: Basaran, Kivanc Çelikten, Azer Bulut, Hasan

Quelle: Electrical Engineering; Oct2024, Vol. 106 Issue 5, p5319-5337, 19p

Schlagwörter: STANDARD deviations, PHOTOVOLTAIC power systems, SOLAR energy, POWER resources, ELECTRIC power distribution grids