Výsledky vyhľadávania - "Batch gradient learning algorithm"

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

Autori: Ying Zhang Huisheng Zhang Dongpo Xu a ďalší

Zdroj: Neurocomputing. 407:185-193

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

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0925231220307591
https://dblp.uni-trier.de/db/journals/ijon/ijon407.html#ZhangZZX20
https://doi.org/10.1016/j.neucom.2020.04.114

Batch Gradient Learning Algorithm with Smoothing L1 Regularization for Feedforward Neural Networks

Autori: Khidir Shaib Mohamed

Zdroj: Computers, Vol 12, Iss 1, p 4 (2022)

Predmety: convergence, batch gradient learning algorithm, feedforward neural networks, smoothing L1 regularization, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2073-431X/12/1/4; https://doaj.org/toc/2073-431X

Prístupová URL adresa: https://doaj.org/article/a653afa5d78b402097e464de3f641831

Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma–Pi–Sigma neural networks

Autori: Yan Liu Jing Wang Wei Wu a ďalší

Zdroj: Neurocomputing. 151:333-341

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Batch Gradient Learning Algorithm with Smoothing L 1 Regularization for Feedforward Neural Networks.

Autori: Mohamed, Khidir Shaib

Zdroj: Computers (2073-431X); Jan2023, Vol. 12 Issue 1, p4, 15p

Predmety: FEEDFORWARD neural networks, MACHINE learning, ERROR functions, NP-hard problems

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

Autori: Mohamed, Khidir Shaib Alsaqer, Suhail Abdullah Bashir, Tahir a ďalší

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.

Autori: Mohamed, Khidir Shaib Albadrani, Raed Muhammad Adam, Ekram a ďalší

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

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

A Modified High-Order Neural Network with Smoothing L1 Regularization and Momentum Terms.

Autori: Mohamed, Khidir Shaib Suliman, Ibrhim M. A. Alfeel, Mahmoud I. a ďalší

Zdroj: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-14, 14p

Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions.

Autori: Fan, Qinwei Kang, Qian Zurada, Jacek M.

Zdroj: Information Sciences. Mar2022, Vol. 585, p70-88. 19p.

Predmety: *ERROR functions, *MACHINE learning, *SET functions, *POINT set theory

Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.

Autori: Zhiwu Lu

Zdroj: Neural Processing Letters; Feb2007, Vol. 25 Issue 1, p17-30, 14p

Predmety: GAUSSIAN processes, ENTROPY (Information theory), AUTOMATION, STOCHASTIC processes

Boundedness and Convergence of Mini-batch Gradient Method with Cyclic Dropconnect and Penalty.

Autori: Jing, Junling Jinhang, Cai Zhang, Huisheng a ďalší

Zdroj: Neural Processing Letters; Apr2024, Vol. 56 Issue 2, p1-16, 16p

Batch Gradient Training Method with Smoothing Group L0 Regularization for Feedfoward Neural Networks.

Autori: Zhang, Ying Wei, Jianing Xu, Dongpo a ďalší

Zdroj: Neural Processing Letters; Apr2023, Vol. 55 Issue 2, p1663-1679, 17p

Predmety: FEEDFORWARD neural networks, NP-hard problems

Synchronization of memristor-based complex-valued neural networks with time-varying delays.

Autori: Cheng, Yanzhao Shi, Yanchao

Zdroj: Computational & Applied Mathematics; Dec2022, Vol. 41 Issue 8, p1-21, 21p

Predmety: TIME-varying networks, SYNCHRONIZATION, COMPLEX numbers, NEURAL circuitry

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

Autori: Ramchoun, Hassan Ettaouil, Mohamed

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

一种利用LSTM 和稳态时间序列的光伏阵列故障诊断方法. (Chinese)

Alternate Title: A photovoltaic array fault diagnosis method using LSTM and steady-state time series. (English)

Autori: 戴森柏 陈志聪 吴丽君 a ďalší

Zdroj: Journal of Fuzhou University; 2022, Vol. 50 Issue 1, p39-49, 11p

Convergence of batch gradient learning with smoothing regularization and adaptive momentum for neural networks.

Autori: Fan, Qinwei Wu, Wei Zurada, Jacek

Zdroj: SpringerPlus; 3/9/2016, Vol. 5 Issue 1, p1-17, 17p

BYY Harmony Learning on Weibull Mixture with Automated Model Selection.

Autori: Ren, Zhijie Ma, Jinwen

Zdroj: Advances in Neural Networks - ISNN 2008; 2008, p589-599, 11p

Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection

Autori: Zhiwu Lu

Zdroj: Neural Processing Letters. 25:17-30

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://link.springer.com/article/10.1007/s11063-006-9028-3
https://dblp.uni-trier.de/db/journals/npl/npl25.html#Lu07
https://doi.org/10.1007/s11063-006-9028-3

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

Autori: Chao Zhang Wei Wu Yan Xiong

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

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

Smooth Group L 1/2 Regularization for Pruning Convolutional Neural Networks.

Autori: Bao, Yuan Liu, Zhaobin Luo, Zhongxuan a ďalší

Zdroj: Symmetry (20738994); Jan2022, Vol. 14 Issue 1, p154-154, 1p

Predmety: CONVOLUTIONAL neural networks, SMOOTHNESS of functions

Downscaling Precipitation in the Data-Scarce Inland River Basin of Northwest China Based on Earth System Data Products.

Autori: Zuo, Jingping Xu, Jianhua Chen, Yaning a ďalší

Zdroj: Atmosphere; Oct2019, Vol. 10 Issue 10, p613-613, 1p

Predmety: DATABASES, DOWNSCALING (Climatology), METEOROLOGICAL precipitation, HYDROLOGIC cycle, SPATIAL variation, WATERSHEDS

Geografický termín: KUNLUN Mountains (China & India)