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检索条件"主题词=learning algorithm"
748 条 记 录,以下是251-260 订阅
排序:
Gradient descent learning rule for complex-valued associative memories with large constant terms
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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2016年 第3期11卷 357-363页
作者: Kobayashi, Masaki Univ Yamanashi Ctr Math Sci 4-3-11 Takeda Kofu Yamanashi 4008511 Japan
Complex-valued associative memories (CAMs) are one of the most promising associative memory models by neural networks. However, the low noise tolerance of CAMs is often a serious problem. A projection learning rule wi... 详细信息
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Parallel learning Portfolio-based solvers
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Procedia Computer Science 2017年 108卷 335-344页
作者: Tarek Menouer Souheib Baarir Paris Nanterre University LIP6 Laboratory CNRS UMR 7606 Paris France LRDE Laboratory Kremlin-Bicłtre France
Exploiting multi-core architectures is a way to tackle the CPU time consumption when solving SATisfiability (SAT) problems. Portfolio is one of the main techniques that implements this principle. It consists in making... 详细信息
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FAST learning algorithm OF WAVELET NETWORK BASED ON FAST WAVELET TRANSFORM
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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2011年 第8期25卷 1297-1319页
作者: Jemai, Olfa Zaied, Mourad Ben Amar, Chokri Alimi, Mohamed Adel Higher Inst Comp Sci Medenine 4119 Tunisia Univ Sfax REGIM Natl Engn Sch Sfax ENIS Sfax 3038 Tunisia
In this paper, a novel learning algorithm of wavelet networks based on the Fast Wavelet Transform (FWT) is proposed. It has many advantages compared to other algorithms, in which we solve the problem in previous works... 详细信息
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A NOVEL APPROACH FOR FACE RECOGNITION BASED ON FAST learning algorithm AND WAVELET NETWORK THEORY
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INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 2011年 第6期9卷 923-945页
作者: Zaied, Mourad Said, Salwa Jemai, Olfa Ben Amar, Chokri Natl Engn Sch Gabes Gabes Tunisia Natl Engn Sch Sfax ENIS Res Grp Intelligent Machines Sfax 3038 Tunisia
This paper presents a new approach of face recognition based on wavelet network using 2D fast wavelet transform and multiresolution analysis. This approach is divided in two stages: the training stage and the recognit... 详细信息
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A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting
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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 82卷 1-10页
作者: Hassan, Saima Khosravi, Abbas Jaafar, Jafreezal Khanesar, Mojtaba Ahmadieh Univ Teknol PETRONAS Dept Comp & Informat Sci Tronoh 31750 Perak Malaysia Deakin Univ Ctr Intelligent Syst Res Waurn Ponds Campus Geelong Vic 3217 Australia Semnan Univ Fac Elect & Comp Engn Semnan Iran Kohat Univ Sci & Technol Inst Informat Technol Kohat Kpk Pakistan
This paper presents a novel design of interval type-2 fuzzy logic systems (IT2FLS) by utilizing the theory of extreme learning machine (ELM) for electricity load demand forecasting. ELM has become a popular learning a... 详细信息
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An Improved learning algorithm of Decision Tree Based on Entropy Uncertainty Deviation
An Improved Learning Algorithm of Decision Tree Based on Ent...
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2012 IEEE 14th International Conference on Communication Technology
作者: Huaining Sun Xuegang Hu Department of Computer and Information Engineering Huainan Normal University School of Computer and Information Hefei University of Technology
Aimed at the problem of deviation of uncertainty estimates in the test model of attributes selecting with the information gain,an improved learning algorithm of decision tree based on the uncertainty deviation of entr... 详细信息
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Non-linear Regression Forecast Model and learning algorithm Based on Functional Networks
Non-linear Regression Forecast Model and Learning Algorithm ...
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International Conference on Micro Nano Devices, Structure and Computing Systems
作者: Liu, Xianghu Coll Yuncheng Dept Appl Math Yuncheng Shanxi Peoples R China
Fitting of forecast function is very difficult and important in non-linear regression forecast problems. The accuracy is directly affected by the fitting of forecast function. Linear model replaced non-linear model in... 详细信息
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Simulation and evaluation of interval-valued fuzzy linear Fredholm integral equations with interval-valued fuzzy neural network
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NEUROCOMPUTING 2016年 205卷 519-528页
作者: Otadi, Mahmood Mosleh, Maryam Islamic Azad Univ Dept Math Firoozkooh Branch Firoozkooh Iran
In the present paper, using generalizations of the fuzzy integral equations for interval-valued fuzzy sets, we introduce and study new generalized interval-valued fuzzy linear Fredholm integral equation concepts. The ... 详细信息
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learning-Based Joint Power and Channel Assignment for Hyper Dense 5G Networks
Learning-Based Joint Power and Channel Assignment for Hyper ...
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IEEE International Conference on Communications (ICC)
作者: Arani, Atefeh Hajijamali Mehbodniya, Abolfazl Omidi, Mohammad Javad Adachit, Fumiyuki Isfahan Univ Technol Dept Elect & Comp Engn Esfahan 84156 Iran Tohoku Univ Grad Sch Engn Dept Commun Engn Sendai Miyagi Japan
Next generation mobile networks will face the unprecedented demand for higher data rates. To satisfy this demand, the dense deployment of heterogeneous wireless networks (HetNets) is a promising solution. One of the m... 详细信息
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A new fuzzy regression model based on interval-valued fuzzy neural network and its applications to management
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Beni-Suef University Journal of Basic and Applied Sciences 2017年 第2期6卷 106-111页
作者: Somaye Yeylaghi Mahmood Otadi Niloofar Imankhan Department of Managment Firoozkooh Branch Islamic Azad University Firoozkooh Iran Department of Mathematics Firoozkooh Branch Islamic Azad University Firoozkooh Iran
In this paper, a novel hybrid method based on interval-valued fuzzy neural network for approximate of interval-valued fuzzy regression models, is presented. The work of this paper is an expansion of the research of re... 详细信息
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