Výsledky vyhľadávania - "Adaptive second-order algorithm"

Improving a fuzzy neural network for predicting storage usage and calculating customer value

Autori: Rabieyan, Reza Pohl, Philipp

Zdroj: Journal of Revenue and Pricing Management. 19:292-301

Predmety: ddc:330, Resource management, Machine learning, Storage usage, 1. No poverty, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy neural networks, Adaptive second-order algorithm, 02 engineering and technology

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1057/s41272-020-00253-3.pdf
https://link.springer.com/content/pdf/10.1057/s41272-020-00253-3.pdf
https://link.springer.com/article/10.1057/s41272-020-00253-3
https://hdl.handle.net/10419/288629

Self-organizing interval type-2 fuzzy neural network based on eigenvalue decomposition.

Autori: Wang, Panchao Zhao, Taoyan Cao, Jiangtao a ďalší

Zdroj: Applied Soft Computing. Dec2025:Part A, Vol. 184, pN.PAG-N.PAG. 1p.

Predmety: Nonlinear systems, System identification, Machine learning, Mathematical optimization, Algorithms, Self-organizing systems, Fuzzy neural networks, Eigenanalysis

A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems.

Autori: Han, Hong-Gui Chen, Zhi-Yuan Liu, Hong-Xu a ďalší

Zdroj: Neurocomputing. May2018, Vol. 290, p196-207. 12p.

Predmety: *FUZZY neural networks, *SELF-organizing maps, *NONLINEAR systems, *DATA transmission systems, *STOCHASTIC convergence

An adaptive second order fuzzy neural network for nonlinear system modeling.

Autori: Han, Hong-Gui Ge, Lu-Ming Qiao, Jun-Fei

Zdroj: Neurocomputing. Nov2016, Vol. 214, p837-847. 11p.

Predmety: *ADAPTIVE control systems, *FUZZY neural networks, *NONLINEAR systems, *MACHINE learning, *NONLINEAR statistical models, *STOCHASTIC convergence

Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure.

Autori: Wang, Jie Xie, Shiwen Xie, Yongfang a ďalší

Zdroj: Journal of Intelligent Manufacturing; Jan2025, Vol. 36 Issue 1, p459-474, 16p

Predmety: ARTIFICIAL intelligence, MANUFACTURING processes, INFORMATION networks, IMAGE processing, SOURCE code

Fault detection of sludge bulking using a self-organizing type-2 fuzzy-neural-network.

Autori: Han, Hong-Gui Liu, Hong-Xu Liu, Zheng a ďalší

Zdroj: Control Engineering Practice. Sep2019, Vol. 90, p27-37. 11p.

Predmety: *SLUDGE bulking, *WASTEWATER treatment

Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation.

Autori: Qiao, Jun-Fei Hou, Ying Zhang, Lu a ďalší

Zdroj: Neurocomputing. Jan2018, Vol. 275, p383-393. 11p.

Predmety: *FUZZY neural networks, *FUZZY sets, *ENERGY consumption, *WASTEWATER treatment, *ALGORITHMS

A Review of AI-Driven Control Strategies in the Activated Sludge Process with Emphasis on Aeration Control.

Autori: Monday, Celestine Zaghloul, Mohamed S. Krishnamurthy, Diwakar a ďalší

Zdroj: Water (20734441); Jan2024, Vol. 16 Issue 2, p305, 23p

Predmety: ACTIVATED sludge process, FUZZY neural networks, SEWAGE disposal plants, EVIDENCE gaps, WASTEWATER treatment

An adaptive growing and pruning algorithm for designing recurrent neural network.

Autori: Han, Hong-Gui Zhang, Shuo Qiao, Jun-Fei

Zdroj: Neurocomputing. Jun2017, Vol. 242, p51-62. 12p.

Predmety: *RECURRENT neural networks, *ALGORITHMS, *ALGEBRA, *METHODOLOGY, *ARTIFICIAL neural networks

Doubly-adaptive artificial compression methods for incompressible flow.

Autori: Layton, William McLaughlin, Michael

Zdroj: Journal of Numerical Mathematics; Sep2020, Vol. 28 Issue 3, p179-196, 18p

Predmety: NUMERICAL analysis, INCOMPRESSIBLE flow, ALGORITHMS

Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory.

Autori: de la Rosa, Erick Yu, Wen

Zdroj: IEEE Transactions on Systems, Man & Cybernetics. Systems; Jul2020, Vol. 50 Issue 7, p2316-2326, 11p

Predmety: BOLTZMANN machine, MACHINE theory, MACHINE learning, FUZZY neural networks, DEEP learning

Reduced-order modeling of dynamic stall using neuro-fuzzy inference system and orthogonal functions.

Autori: Tatar, Massoud Sabour, Mohammad Hossein

Zdroj: Physics of Fluids; Apr2020, Vol. 32 Issue 4, p1-13, 13p, 3 Color Photographs, 3 Diagrams, 1 Chart, 3 Graphs

Predmety: ORTHOGONAL systems, FLUTTER (Aerodynamics), ORTHOGONAL functions, REDUCED-order models, COMPUTATIONAL fluid dynamics, LIFT (Aerodynamics), DYNAMIC models, PROPER orthogonal decomposition

Contributions and applications to survival analysis ; Contributions et applications a l'analyse de survie

Autori: Fernandez, Camila Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) a ďalší

Prispievatelia: Fernandez, Camila Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) a ďalší

Zdroj: https://theses.hal.science/tel-04777087 ; Probability [math.PR]. Sorbonne Université, 2024. English. ⟨NNT : 2024SORUS230⟩.

Predmety: Online learning, Machine learning, Stochastic optimisation, Online convex optimisation, Survival analysis, Apprentissage en ligne, Apprentissage automatique, Optimisation stochastique, Optimisation convexe en ligne, Analyse de survie, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: NNT: 2024SORUS230

Dostupnosť: https://theses.hal.science/tel-04777087
https://theses.hal.science/tel-04777087v1/document
https://theses.hal.science/tel-04777087v1/file/143933_FERNANDEZ_2024_archivage.pdf

Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications.

Autori: Kharazihai Isfahani, Mohsen Zekri, Maryam Marateb, Hamid Reza a ďalší

Zdroj: PLoS ONE; 12/9/2019, Vol. 14 Issue 12, p1-26, 26p

Predmety: NONLINEAR systems, DYNAMICAL systems, FUZZY neural networks, SYSTEM identification, ARTIFICIAL neural networks, FUZZY systems, REAL gases

Dynamical regularized echo state network for time series prediction.

Autori: Yang, Cuili Qiao, Junfei Wang, Lei a ďalší

Zdroj: Neural Computing & Applications; Oct2019, Vol. 31 Issue 10, p6781-6794, 14p

Predmety: TIKHONOV regularization, TIME series analysis, ECHO, SIMULATION methods & models, MATHEMATICAL regularization, TIME management

Contributions and applications to survival analysis

Autori: Fernandez, Camila STAR, ABES

Prispievatelia: Fernandez, Camila STAR, ABES

Predmety: [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Apprentissage en ligne, Online learning, Online convex optimisation, Optimisation stochastique, Machine learning, Analyse de survie, Stochastic optimisation, Apprentissage automatique, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Survival analysis, Optimisation convexe en ligne

Popis súboru: application/pdf

Prístupová URL adresa: https://theses.hal.science/tel-04777087v1

Universal and adaptive methods for robust stochastic optimization

Autori: Kavis, Ali

Predmety: non-convex minimization, variance reduction, noise-adaptive algorithms, stochastic optimization, adaptive methods, convex minimization, parameter-free methods, high-probability convergence, first and second-order methods, variational inequalities

Two A Posteriori Error Estimates for One-Dimensional Scalar Conservation Laws

Autori: Gosse, Laurent Makridakis, Charalambos

Zdroj: SIAM Journal on Numerical Analysis; 2000, Vol. 38 Issue 3, p964, 25p

Discrete-time Signal Processing

Autori: Darrell Williamson

Typ zdroja: eBook.

Predmet: Signal processing

Kategórie: TECHNOLOGY & ENGINEERING / Signals & Signal Processing

Intelligent identification method of sludge bulking based on type-2 fuzzy neural network