Výsledky vyhledávání - "Batch gradient algorithm"

Convergence of batch gradient algorithm with smoothing composition of group $$l_{0}$$ and $$l_{1/2}$$ regularization for feedforward neural networks

Autoři: Hassan Ramchoun Mohamed Ettaouil

Zdroj: Progress in Artificial Intelligence. 11:269-278

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks

Autoři: Gaofeng Zheng Dongpo Xu Hongmei Shao

Zdroj: Neural Processing Letters. 34:221-228

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://link.springer.com/article/10.1007/s11063-011-9193-x?error=cookies_not_supported&error=cookies_not_supported&error=cookies_not_supported&code=9ff24484-583b-4e5b-a3e3-9a8c9cf4626b&code=1a0d17bf-8eef-4b3e-b85e-09e003efdf64&code=1f6e9c4b-45ae-4dc3-a560-890e2bae0aa2
https://dblp.uni-trier.de/db/journals/npl/npl34.html#ShaoXZ11
https://link.springer.com/article/10.1007/s11063-011-9193-x

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks

Autoři: Wei Wu Yan Xiong Chao Zhang

Zdroj: Neural Processing Letters. 26:177-189

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://sci2s.ugr.es/keel/pdf/specific/articulo/Zhang_Wu_Xiong_2007.pdf
https://dblp.uni-trier.de/db/journals/npl/npl26.html#ZhangWX07
https://core.ac.uk/display/103674881
https://link.springer.com/article/10.1007%2Fs11063-007-9050-0

Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks.

Autoři: Ramchoun, Hassan Ettaouil, Mohamed

Zdroj: Progress in Artificial Intelligence (2192-6352). Sep2022, Vol. 11 Issue 3, p269-278. 10p.

An Algebraic Approach to the Identification of Linear Continuous Systems Using Laguerre Networks

Autoři: Penđer, Antonia Brezak, Danko Kasać, Josip a další

Zdroj: IEEE EUROCON 2023-20th International Conference on Smart Technologies Torino: Institute of Electrical and Electronics Engineers (IEEE)

Témata: algebraic method, Laguerre networks, continuous systems, linear system identification, batch gradient algorithm

Přístupová URL adresa: https://ieeexplore.ieee.org/document/10199086
https://doi.org/10.1109/EUROCON56442.2023.10199086

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks.

Autoři: Shao, Hongmei Xu, Dongpo Zheng, Gaofeng

Zdroj: Neural Processing Letters; Dec2011, Vol. 34 Issue 3, p221-228, 8p

Témata: ARTIFICIAL neural networks, ERROR analysis in mathematics, RANDOM noise theory, ERROR functions, ALGORITHMS

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks.

Autoři: Chao Zhang Wei Wu Yan Xiong

Zdroj: Neural Processing Letters; Dec2007, Vol. 26 Issue 3, p177-189, 13p

Témata: COGNITIVE neuroscience, NEURAL circuitry, BIOLOGICAL neural networks, CIRCLE-squaring

An online self-organizing radial basis function neural network based on Gaussian Membership.

Autoři: Jia, Lijie Li, Wenjing Qiao, Junfei a další

Zdroj: Applied Intelligence; Apr2025, Vol. 55 Issue 6, p1-17, 17p

A recurrent sigma pi sigma neural network.

Autoři: Deng, Fei Liang, Shibin Qian, Kaiguo a další

Zdroj: Scientific Reports; 1/4/2025, Vol. 14 Issue 1, p1-14, 14p

Témata: RECURRENT neural networks, ARTIFICIAL intelligence, IMAGE processing, ALGORITHMS, CLASSIFICATION

L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis.

Autoři: Yang, Dakun Liu, Yan

Zdroj: Neurocomputing. Jan2018, Vol. 272, p122-129. 8p.

Témata: *ARTIFICIAL neural networks, *MATHEMATICAL regularization, *DISCRETIZATION methods, *QUANTUM computing, *SENSOR networks management

Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks.

Autoři: Zhang, Huisheng Zhang, Ying Zhu, Shuai a další

Zdroj: Neurocomputing. Sep2020, Vol. 407, p185-193. 9p.

Témata: *DETERMINISTIC algorithms, *MACHINE learning, *ALGORITHMS, *ANALYTIC functions, *MEAN value theorems

Deterministic convergence analysis for regularized long short-term memory and its application to regression and multi-classification problems.

Autoři: Kang, Qian Yu, Dengxiu Cheong, Kang Hao a další

Zdroj: Engineering Applications of Artificial Intelligence. Jul2024:Part E, Vol. 133, pN.PAG-N.PAG. 1p.

Témata: *RECURRENT neural networks, *MACHINE learning

Design and Analysis of Urban Land Lease Price Predicting Model Using Batch Gradient Descent Algorithm.

Autoři: Niguse, Kifle Berhane

Zdroj: Momona Ethiopian Journal of Science; 2023, Vol. 15 Issue 1, p89-104, 16p

Témata: REAL property sales & prices, COST functions, URBAN planning, ALGORITHMS, BID price

Convergence analysis of gradient descent based on smoothing L0 regularization and momentum terms.

Autoři: Mohamed, Khidir Shaib Alsaqer, Suhail Abdullah Bashir, Tahir a další

Zdroj: Journal of Applied Mathematics & Computing; 2025 Suppl 1, Vol. 71, p563-589, 27p

Batch gradient based smoothing L2/3 regularization for training pi-sigma higher-order networks.

Autoři: Mohamed, Khidir Shaib Albadrani, Raed Muhammad Adam, Ekram a další

Zdroj: Scientific Reports; 7/7/2025, Vol. 15 Issue 1, p1-14, 14p

Témata: ARTIFICIAL neural networks, SMOOTHING (Numerical analysis), REGULARIZATION parameter, MATHEMATICAL optimization, POLYNOMIAL approximation, EMPIRICAL research, OSCILLATIONS

The Using Neural Network and Finite Difference Method for Option Pricing under Black-Scholes-Vasicek Model.

Autoři: Mohammadi, Mahdiyeh Dastranj, Elham Ataabadi, Abdolmajid Abdolbaghi a další

Zdroj: Advances in Mathematical Finance & Applications; Summer2025, Vol. 10 Issue 3, p307-323, 17p

A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction.

Autoři: Xiao, Yong Jin, Xin Pan, Tingzhe a další

Zdroj: Energies (19961073); Mar2025, Vol. 18 Issue 6, p1482, 20p

Témata: FEDERATED learning, LONG short-term memory, MACHINE learning, ENERGY demand management, PRODUCTION scheduling

A new Sigma-Pi-Sigma neural network based on $ L_1 $ and $ L_2 $ regularization and applications.

Autoři: Jiao, Jianwei Su, Keqin

Zdroj: AIMS Mathematics; 2024, Vol. 9 Issue 3, p1-18, 18p

Témata: OSCILLATIONS, CLASSIFICATION, CLASSIFICATION algorithms

Convergence Analysis and Application for Multi‐Layer Neural Network Based on Fractional‐Order Gradient Descent Learning.

Autoři: Zhao, Shuai Fan, Qinwei Dong, Qingmei

Zdroj: Advanced Theory & Simulations; Feb2024, Vol. 7 Issue 2, p1-12, 12p

Témata: FEEDFORWARD neural networks, ERROR functions, FRACTIONAL calculus, SYSTEM identification

Integrated Model Text Classification Based on Multineural Networks.

Autoři: Hu, Wenjin Xiong, Jiawei Wang, Ning a další

Zdroj: Electronics (2079-9292); Jan2024, Vol. 13 Issue 2, p453, 20p

Témata: CONVOLUTIONAL neural networks, RECURRENT neural networks, FEATURE extraction, OPTIMIZATION algorithms, SIGNAL convolution, SOCIAL networks