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检索条件"主题词=Learning Algorithm"
748 条 记 录,以下是351-360 订阅
排序:
Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks
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FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2020年 14卷 80页
作者: Khalid, Mustafa Wu, Jun Ali, Taghreed M. Ameen, Thaair Altaher, Ali Salem Moustafa, Ahmed A. Zhu, Qiuguo Xiong, Rong Zhejiang Univ State Key Lab Ind Control Technol Inst Cyber Syst & Control Hangzhou Peoples R China Zhejiang Univ Binhai Ind Technol Res Inst Tianjin Peoples R China Univ Baghdad Elect Engn Dept Baghdad Iraq Zhejiang Univ Inst Comp Sci Hangzhou Peoples R China Florida Atlantic Univ CEECS Dept Boca Raton FL 33431 USA Western Sydney Univ Marcs Inst Brain & Behav Sydney NSW Australia Western Sydney Univ Sch Psychol Sydney NSW Australia Univ Johannesburg Fac Hlth Sci Dept Human Anat & Physiol Johannesburg South Africa
Many current computational models that aim to simulate cortical and hippocampal modules of the brain depend on artificial neural networks. However, such classical or even deep neural networks are very slow, sometimes ... 详细信息
来源: 评论
Enlarging the margins in perceptron decision trees
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MACHINE learning 2000年 第3期41卷 295-313页
作者: Bennett, KP Cristianini, N Shawe-Taylor, J Wu, DH Rensselaer Polytech Inst Dept Math Sci Troy NY 12180 USA Univ London Royal Holloway & Bedford New Coll Dept Comp Sci Egham TW20 0EX Surrey England
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and combat overfitting. In particular, we p... 详细信息
来源: 评论
Trust Based Dynamic Bandwidth Allocation Scheme for Ethernet Passive Optical Networks
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WIRELESS PERSONAL COMMUNICATIONS 2015年 第4期83卷 2869-2882页
作者: Kim, Sungwook Sogang Univ Dept Comp Sci Seoul 121742 South Korea
Recently, Ethernet Passive Optical Network (EPON) is a significant solution in the access layer of network that can provide large amount of bandwidth for different kind of traffic. In this paper, we propose a dynamic ... 详细信息
来源: 评论
Sliding-window hybrid quasi-Newton algorithm-trained MBER equalisers
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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 2014年 第1期28卷 96-106页
作者: Zhu, Renxiang Wu, Lenan Ningbo Univ Technol Sch Elect & Informat Engn Ningbo 315016 Zhejiang Peoples R China Southeast Univ Sch Informat Sci & Engn Nanjing 210096 Jiangsu Peoples R China
Nonlinear equalisers based on minimum BER are proposed for the equalisation of nonlinear time-varying channels. To train the equalisers online, a sliding-window-based hybrid quasi-Newton algorithm is proposed. Switchi... 详细信息
来源: 评论
A genetic algorithm using modified bit-selection probability for a self-tuning of fuzzy reasoning
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NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS 1997年 第5期30卷 3019-3028页
作者: Ohki, M Moriyama, T Miyata, H Ohkita, M Tottori Univ Fac Engn Dept Elect & Elect Engn Tottori 680 Japan
No abstract available
来源: 评论
A novel intelligent strategy for improving measurement precision of FOG
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2000年 第6期49卷 1183-1188页
作者: Zhu, R Zhang, YH Bao, QL Shanghai Jiao Tong Univ Sch Elect & Informat Technol Shanghai 200030 Peoples R China
This paper discusses neural network-based strategy for reducing the existing errors of fiber-optic gyroscope (FOG), A series-single-layer neural network, which is composed of two single-layer networks in series, is pr... 详细信息
来源: 评论
Pricing-Based Channel Selection for D2D Content Sharing in Dynamic Environments
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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2021年 第4期20卷 2175-2189页
作者: Yang, Lianxin Wu, Dan Yue, Chao Zhang, Yu Wu, Yan Army Engn Univ PLA Inst Commun Engn Nanjing 210007 Peoples R China Natl Univ Def Technol Res Inst 63 Nanjing 210007 Peoples R China
In order to make device-to-device (D2D) content sharing give full play to its advantage of improving local area services, one of the important issues is to decide the channels that D2D pairs occupy. Most existing work... 详细信息
来源: 评论
An intelligent power factor corrector for power system using artificial neural networks
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ELECTRIC POWER SYSTEMS RESEARCH 2009年 第1期79卷 152-160页
作者: Bayindir, R. Sagiroglu, S. Colak, I. Gazi Univ Fac Tech Educ Dept Elect Educ TR-06500 Ankara Turkey Gazi Univ Fac Engn & Architecture Dept Comp Engn TR-06570 Ankara Turkey
An intelligent power factor correction approach based on artificial neural networks (ANN) is introduced. Four learning algorithms, backpropagation (BP), delta-bar-delta (DBD), extended delta-bar-delta (EDBD) and direc... 详细信息
来源: 评论
On the Development and Performance Evaluation of Improved Radial Basis Function Neural Networks
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2022年 第6期52卷 3873-3884页
作者: Panda, Sashmita Panda, Ganapati Indian Inst Technol Kharagpur Dept GS Sanyal Sch Telecommun Kharagpur 721302 W Bengal India CV Raman Global Univ Dept Elect & Telecommun Engn Bhubaneswar 752054 India
This article deals with the development of four modified radial basis function neural network (RBFNN) models. The corresponding learning algorithms associated with the updating of internal parameters of the models are... 详细信息
来源: 评论
Prediction of the hot deformation behavior for Aermet100 steel using an artificial neural network
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COMPUTATIONAL MATERIALS SCIENCE 2010年 第3期48卷 626-632页
作者: Ji, Guoliang Li, Fuguo Li, Qinghua Li, Huiqu Li, Zhi Henan Polytech Univ Sch Mat Sci & Engn Jiaozuo 454000 Peoples R China Northwestern Polytech Univ Sch Mat Sci & Engn Xian 710072 Peoples R China Beijing Inst Aeronaut Mat Beijing 100095 Peoples R China
Using the experimental data obtained from hot compression tests in the temperature range 800-1200 degrees C, strain range 0.05-0.90, and strain rate range 0.01-50 s(-1), an artificial neural network (ANN) model is dev... 详细信息
来源: 评论