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检索条件"主题词=learning algorithm"
748 条 记 录,以下是231-240 订阅
排序:
Comparison between Extreme learning Machine and Wavelet Neural Networks in Data Classification  9
Comparison between Extreme Learning Machine and Wavelet Neur...
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9th International Conference on Machine Vision (ICMV)
作者: Siwar, Yahia Salwa, Said Olfa, Jemai Mourad, Zaied Chokri, Ben Amar Natl Sch Engn Sfax Sfax Tunisia
Extreme learning Machine is a well known learning algorithm in the field of machine learning. It's about a feedforward neural network with a single-hidden layer. It is an extremely fast learning algorithm with goo... 详细信息
来源: 评论
Parallel learning Portfolio-based solvers
Parallel Learning Portfolio-based solvers
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International Conference on Computational Science (ICCS)
作者: Menouer, Tarek Baarir, Souheib Paris Nanterre Univ CNRS UMR 7606 Lab LIP6 Paris France LRDE Lab Kremlin Bicltre France
Exploiting multi-core architectures is a way to tackle the CPU time consumption when solving SAT-isfiability (SAT) problems. Portfolio is one of the main techniques that implements this principle. It consists in makin... 详细信息
来源: 评论
Diagnostic Neuro-Fuzzy System and Its learning in Medical Data Mining Tasks in Conditions of Uncertainty about Numbers of Attributes and Diagnoses
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AUTOMATIC CONTROL AND COMPUTER SCIENCES 2017年 第6期51卷 391-398页
作者: Pliss, Iryna Perova, Iryna Kharkiv Natl Univ Radio Elect UA-61166 Kharkov Ukraine
Architecture and learning method for evolving diagnostic neuro-fuzzy-system for Medical Data Mining tasks in situation of uncertainty about quantities of attributes and diagnoses are proposed. Diagnostic neuro-fuzzy-s... 详细信息
来源: 评论
Minimizing Base Stations' ON/OFF Switchings in Self-Organizing Heterogeneous Networks: A Distributed Satisfactory Framework
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IEEE ACCESS 2017年 5卷 26267-26278页
作者: Arani, Atefeh Hajijamali Omidi, Mohammad Javad Mehbodniya, Abolfazl Adachi, Fumiyuki Isfahan Univ Technol Dept Elect & Comp Engn Esfahan *** Iran Tohoku Univ Res Org Elect Commun Sendai Miyagi 9808577 Japan
The deployment of heterogeneous networks (HetNets) can significantly boost the network capacity. However, the large number of small cell base stations (SBSs) deployed in HetNets can result in an increased total energy... 详细信息
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Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2017年 第6期1卷 421-436页
作者: Zhou, Ta Ishibuchi, Hisao Wang, Shitong Jiangnan Univ Sch Digital Media Wuxi 214122 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Sch Elect & Informat Engn Zhenjiang 100083 Jiangsu Peoples R China Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen 518055 Japan Osaka Prefecture Univ Dept Comp Sci & Intelligent Syst Osaka 5998531 Japan JiangSu Key Lab Media Design & Software Technol Wuxi 214122 Jiangsu Peoples R China
In this paper, a new stacked-structure-based hierarchical Takagi-Sugeno-Kang (TSK) fuzzy classifier called SHFA-TSK-FC with both promising performance and high interpretability is proposed to tackle with the shortcomi... 详细信息
来源: 评论
A Bird Flock Gravitational Search algorithm Based on the Collective Response of Birds
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COMPUTER JOURNAL 2017年 第11期60卷 1687-1716页
作者: Han, XiaoHong Qiang, Yan Lan, Yuan Taiyuan Univ Technol Minist Educ China Key Lab Adv Transducers & Intelligent Control Sys Taiyuan Shanxi Peoples R China
Gravitational search algorithm (GSA) is a stochastic search algorithm based on the law of gravity and mass which is widely used nowadays for efficient solution of optimization problems. For the purpose of enhancing th... 详细信息
来源: 评论
A novel data clustering algorithm based on modified gravitational search algorithm
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2017年 61卷 1-7页
作者: Han, XiaoHong Quan, Long Xiong, XiaoYan Almeter, Matt Xiang, Jie Lan, Yuan Taiyuan Univ Technol Key Lab Adv Transducers & Intelligent Control Sys Minist Educ China Taiyuan Shanxi Peoples R China
Data clustering is a popular analysis tool for data statistics in many fields such as pattern recognition, data mining, machine learning, image analysis, and bioinformatics. The aim of data clustering is to represent ... 详细信息
来源: 评论
Intelligent tracking control of a PMLSM using self-evolving probabilistic fuzzy neural network
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IET ELECTRIC POWER APPLICATIONS 2017年 第6期11卷 1043-1054页
作者: Chen, Syuan-Yi Liu, Tung-Sheng Natl Taiwan Normal Univ Dept Elect Engn Taipei 106 Taiwan
This study presents a self-evolving probabilistic fuzzy (PF) neural network with asymmetric membership function (SPFNN-AMF) controller for the position servo control of a permanent magnet linear synchronous motor (PML... 详细信息
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Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network
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STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING 2018年 第3期64卷 195-206页
作者: Ghritlahre, Harish Kumar Prasad, Radha Krishna Natl Inst Technol Dept Mech Engn Rourkela India
The exergetic performance of a roughened solar air heater has been predicted using an artificial neural network (ANN) model. The exergetic values have been derived from the data collected by conducting experiments on ... 详细信息
来源: 评论
Heterogeneous network bandwidth management scheme based on the principal-agent game model
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WIRELESS NETWORKS 2017年 第1期23卷 279-287页
作者: Kim, Sungwook Sogang Univ Dept Comp Sci Shinsu Dong 1 Seoul 121742 South Korea
In order to provide more comprehensive network services, a concept of integrated heterogeneous network system was introduced. Until now, lots of researchers have focused on how to efficiently integrate different types... 详细信息
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