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检索条件"主题词=Supervised Learning Algorithm"
38 条 记 录,以下是31-40 订阅
排序:
PROTEIN FOLD CLASSIFICATION BASED ON MACHINE learning PARADIGM - A REVIEW
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BIO-algorithmS AND MED-SYSTEMS 2012年 第1期8卷 53-76页
作者: Stapor, Katarzyna Silesian Tech Univ Inst Comp Sci Akad 16 PL-44100 Gliwice Poland
Protein fold recognition using machine learning-based methods is crucial in the protein structure discovery, especially when the traditional sequence comparison methods fail because the structurally-similar proteins s... 详细信息
来源: 评论
supervised learning in a Single Layer Dynamic Synapses Neural Network
Supervised Learning in a Single Layer Dynamic Synapses Neura...
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International Joint Conference on Neural Networks (IJCNN)
作者: Yousefi, Ali Dibazar, Alireza A. Berger, Theodore W. Univ So Calif Neural Dynam Lab Los Angeles CA 90089 USA
The main focus of this paper is to introduce a new supervised learning algorithm for spiking neural networks. The learning algorithm minimizes the overall differences between spike times of target and test spike train... 详细信息
来源: 评论
An Optimal Construction and Training of Second Order RBF Network for Approximation and Illumination invariant Image Segmentation
An Optimal Construction and Training of Second Order RBF Net...
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International Joint Conference on Neural Networks (IJCNN)
作者: Cai, Xun Tyagi, Kanishka Manry, Michael T. Shandong Univ Sch Comp Sci & Technol Jinan 250101 Shandong Peoples R China Univ Texas Arlington Dept Elect Engn Arlington 76010 TX USA
In this paper, we proposed an hybrid optimal radial-basis function (RBF) neural network for approximation and illumination invariant image segmentation. Unlike other RBF learning algorithms, the proposed paradigm intr... 详细信息
来源: 评论
A Comparison of Sound Localisation Techniques using Cross-Correlation and Spiking Neural Networks for Mobile Robotics
A Comparison of Sound Localisation Techniques using Cross-Co...
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International Joint Conference on Neural Networks (IJCNN)
作者: Wall, Julie A. McGinnity, Thomas M. Maguire, Liam P. Univ Ulster Intelligent Syst Res Ctr Sch Comp & Intelligent Syst Coleraine BT52 1SA Londonderry North Ireland
This paper outlines the development of a cross-correlation algorithm and a spiking neural network (SNN) for sound localisation based on real sound recorded in a noisy and dynamic environment by a mobile robot. The SNN... 详细信息
来源: 评论
A Training algorithm for SpikeProp Improving Stability of learning Process
A Training Algorithm for SpikeProp Improving Stability of Le...
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International Joint Conference on Neural Networks (IJCNN)
作者: Wakamatsu, Toshiki Takase, Haruhiko Kawanaka, Hiroharu Tsuruoka, Shinji Mie Univ Grad Sch Engn Tsu Mie 514 Japan
In this paper, we aims to improve stability of learning processes by the SpikeProp algorithm. We proposed the method that reduce the increase of the error in learning processes. It repeats two steps: (1) original Spik... 详细信息
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An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation
An Adaptive Neuro-Fuzzy Architecture for Intelligent Control...
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IEEE International Symposium on Industrial Electronics (ISIE)
作者: Aras, Ayse Cisel Kayacan, Erdal Oniz, Yesim Kaynak, Okyay Abiyev, Rahib Bogazici Univ Dept Elect & Elect Engn TR-34342 Istanbul Turkey Near East Univ Dept Comp Engn Nicosia Cyprus
In this paper the development of an adaptive neuro-fuzzy architecture for the speed control of a servo system with nonlinear load is presented. The synthesis of the structure is described and a learning algorithm for ... 详细信息
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An Experimental Research of Traffic Identification algorithms in Broadband Network
An Experimental Research of Traffic Identification Algorithm...
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1st International Symposium on Computer Network and Multimedia Technology
作者: Chen, Na Shou, Guochu Hu, YiHong Guo, ZhiGang Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100088 Peoples R China
Adopting the machine learning method to identify the traffic in the broadband network has become a new research direction in this field. In this paper, we evaluate 11 kinds of supervised learning algorithm of the mach... 详细信息
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Adaptive nonlinear equalizer with reduced computational complexity
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SIGNAL PROCESSING 1995年 第3期47卷 307-317页
作者: Oh, DG Choi, JY Lee, CW Satellite Broadcasting System Section Electronics and Telecommunications Research Institute P. O. Box 106 Taejon 305-306 South Korea School of Electrical Engineering Seoul National University Seoul South Korea
This paper presents an approach of adaptive nonlinear equalization having much less computational complexity than existing nonlinear equalizers. The proposed equalizer first estimates many local regions in the symbol ... 详细信息
来源: 评论