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检索条件"主题词=back-propagation algorithm"
209 条 记 录,以下是151-160 订阅
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Robust speed-controlled induction motor drive based on recurrent neural network
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ELECTRIC POWER SYSTEMS RESEARCH 2006年 第12期76卷 1064-1074页
作者: Ren, Tsai-Jiun Chen, Tien-Chi Natl Cheng Kung Univ Dept Engn Sci Tainan 70101 Taiwan
This paper proposes a recurrent neural network speed controller for an induction motor drive. This speed controller consists of a recurrent neural network identifier (RNNI) and recurrent neural network controller (RNN... 详细信息
来源: 评论
An improved neural network approach to the determination of aquifer parameters
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JOURNAL OF HYDROLOGY 2006年 第1-4期316卷 281-289页
作者: Lin, GF Chen, GR Natl Taiwan Univ Dept Civil Engn Taipei 10617 Taiwan
In this paper, an artificial neural network (ANN) approach to the determination of aquifer parameters is developed. The approach is based on the combination of an ANN and the Theis solution. The proposed ANN approach ... 详细信息
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Neural networks study on the correlation between impact sensitivity and molecular structures for nitramine explosives
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STRUCTURAL CHEMISTRY 2006年 第5期17卷 501-507页
作者: Zhao, Jun Cheng, Xin-Lu He, Bi Yang, Xiang-Dong Sichuan Univ Inst Atom & Mol Phys Chengdu 610065 Peoples R China China Acad Engn Phys Inst Chem Engn & Mat Mianyang 621900 Peoples R China
In this paper, a back-propagation neural network has been utilized to study on the correlation between impact sensitivity and molecular properties of 33 nitramine molecules. By using density functional theory method B... 详细信息
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Extreme learning machine: Theory and applications
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NEUROCOMPUTING 2006年 第1-3期70卷 489-501页
作者: Huang, Guang-Bin Zhu, Qin-Yu Siew, Chee-Kheong Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore
It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major bottleneck in their applications for past decades. Two key reasons behind may be: (1) t... 详细信息
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Application of Artificial Neural Network to quantitative analysis of Raman spectrum
Application of Artificial Neural Network to quantitative ana...
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4th International Conference on Photonics and Imaging in Biology and Medicine
作者: Chen, Chen Zhang, Guoping Li, Gang Cent China Normal Univ Coll Phys Sci & Technol Wuhan 430079 Peoples R China
By means of Artificial Neural Network and back-propagation algorithm, the multi-component of azo-dyes can be qualitatively and quantitatively analyzed simultaneously, though their Raman spectra arc overlapped. This ar... 详细信息
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Hybrid data analysis methods and Artificial Neural Network design in breast cancer diagnosis: IDEST experience
Hybrid data analysis methods and Artificial Neural Network d...
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International Conference on Computational Intelligence for Modelling, Control and Automation/International Conference on Intelligent Agents Web Technologies and International Commerce
作者: Bevilacqua, V. Mastronardi, G. Menolascina, F. DEE Polytech Bari Via Orabona 4 I-70125 Bari Italy
This paper presents a method for breast cancer diagnosis using a system based on an Artificial Neural Network (ANN) trained using a particular version of the back propagation (BP) algorithm [1]. The Wisconsin Breast C... 详细信息
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Arabic and Latin writing discrimination system
Arabic and Latin writing discrimination system
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International Conference on Computer Science and Its Applications, CIIA 2006
作者: Boumaza, Kamel Sellami, Mokhtar Badji Mokhtar Annaba University Research Laboratory on Computer Sciences Algeria
In this paper, we propose a method of an Arabic and Latin discrimination writings, based on morphological, geometrical and statistical analysis. We focused on feature extractions in order to curry out a system able to... 详细信息
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Estimating the fracture gradient coefficient using neural networks for a field in the Middle East
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JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 2005年 第3-4期49卷 193-211页
作者: Malallah, A Nashawi, IS Coll Engn & Petr Dept Petr Engn Safat 13060 Kuwait
Fracture gradient constitutes an essential parameter in the pre-design stage of drilling operations, reservoir exploitation and stimulation. Over the years, fracture gradient has been acknowledged to be one of the mos... 详细信息
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Modeling of flux decline in crossflow microfiltration using neural networks: the case of phosphate removal
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JOURNAL OF MEMBRANE SCIENCE 2005年 第1-2期248卷 53-62页
作者: Aydiner, C Demir, I Yildiz, E Gebze Inst Technol Dept Environm Engn TR-41400 Kocaeli Turkey Ataturk Univ Fac Engn Dept Environm Engn TR-25240 Erzurum Turkey
Flux declines versus time (t) during crossflow microfiltration of a mixture that contains phosphate and fly ash, were modeled and compared by using an artificial neural network (ANN) and Koltuniewicz's method (KM)... 详细信息
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Non-iterative estimation of heat transfer coefficients using artificial neural network models
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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2005年 第3-4期48卷 665-679页
作者: Sablani, SS Kacimov, A Perret, J Mujumdar, AS Campo, A Sultan Qaboos Univ Dept Food Sci & Nutr Muscat Oman Sultan Qaboos Univ Dept Soils Water & Agr Engn Muscat Oman Natl Univ Singapore Dept Mech & Prod Engn Singapore Singapore Univ Vermont Dept Mech Engn Burlington VT USA
The Inverse Heat Conduction Problem (IHCP) dealing with the estimation of the heat transfer coefficient for a solid/fluid assembly from the knowledge of inside temperature was accomplished using an artificial neural n... 详细信息
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