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检索条件"主题词=scaled conjugate gradient algorithm"
22 条 记 录,以下是11-20 订阅
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scaled conjugate gradient Learning for Complex-Valued Neural Networks  21st
Scaled Conjugate Gradient Learning for Complex-Valued Neural...
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21st International Conference on Soft Computing (MENDEL)
作者: Popa, Calin-Adrian Polytech Univ Timisoara Dept Comp & Software Engn Timisoara 300223 Romania
In this paper, we present the full deduction of the scaled conjugate gradient method for training complex-valued feedforward neural networks. Because this algorithm had better training results for the real-valued case... 详细信息
来源: 评论
Air mass flow estimation of diesel engines using neural network
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FUEL 2014年 第parta期117卷 833-838页
作者: Uzun, Abdullah Sakarya Univ Sakarya Vocat Sch TR-54187 Sakarya Turkey
Air mass management is one of major factors affecting the performance of diesel engines, where experimental studies play a significant role in the performance studies. However, the experimental studies are quite expen... 详细信息
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GPS GDOP classification via improved neural network trainings and principal component analysis
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INTERNATIONAL JOURNAL OF ELECTRONICS 2014年 第9期101卷 1300-1313页
作者: Azami, Hamed Sanei, Saeid Iran Univ Sci & Technol Dept Elect Engn Tehran *** Iran Univ Surrey Fac Engn & Phys Sci Guildford GU2 5XH Surrey England
Geometric dilution of precision (GDOP) is an engineering expression that denotes how well the constellation of global positioning system (GPS) satellites is organised geometrically. In the analysis of received signals... 详细信息
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A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei
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COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2012年 第2期52卷 409-414页
作者: Babaie-Kafaki, Saman Semnan Univ Dept Math Fac Math Stat & Comp Sci Semnan Iran
In (Andrei, Comput. Optim. Appl. 38:402-416, 2007), the efficient scaled conjugate gradient algorithm SCALCG is proposed for solving unconstrained optimization problems. However, due to a wrong inequality used in (And... 详细信息
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Neural network based model for seismic assessment of existing RC buildings
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COMPUTERS AND CONCRETE 2013年 第2期12卷 229-241页
作者: Caglar, Naci Garip, Zehra Sule Sakarya Univ Dept Civil Engn Sakarya Turkey Karabuk Univ Dept Civil Engn Karabuk Turkey
The objective of this study is to reveal the sufficiency of neural networks (NN) as a securer, quicker, more robust and reliable method to be used in seismic assessment of existing reinforced concrete buildings. The N... 详细信息
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CRACK LOCALIZATION IN HYDRAULIC TURBINE BLADES BASED ON KERNEL INDEPENDENT COMPONENT ANALYSIS AND WAVELET NEURAL NETWORK
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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2013年 第6期6卷 1116-1124页
作者: Wang, Xianghong Mao, Hanling Hu, Hongwei Zhang, Zhiyong Changsha Univ Sci & Technol Coll Automobile & Mech Engn Changsha 410004 Hunan Peoples R China Guangxi Univ Coll Mech Engn Nanjing 530003 Guangxi Peoples R China
Hydraulic turbine runner has a complex structure, and traditional location methods can't meet its requirement. This paper describes a source location of cracks in turbine blades by combining kernel independent com... 详细信息
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A parametric study for specific fuel consumption of an intercooled diesel engine using a neural network
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FUEL 2012年 第1期93卷 189-199页
作者: Uzun, Abdullah Sakarya Univ Sakarya Vocat Sch TR-54187 Sakarya Turkey
Turbocharging is a process wherein the amount of oxygen used in a combustion reaction is increased to raise output and decrease specific fuel consumption. On account of this, fuel economy and thermal efficiency are mo... 详细信息
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Neural network based approach for determining the shear strength of circular reinforced concrete columns
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CONSTRUCTION AND BUILDING MATERIALS 2009年 第10期23卷 3225-3232页
作者: Caglar, Naci Sakarya Univ Dept Civil Engn TR-54187 Sakarya Turkey
The objective of this study is to investigate the adequacy of neural networks (NN) as a quicker, more secure and more robust method to determine the shear strength of circular reinforced concrete columns. In the appli... 详细信息
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Neural networks in 3-dimensional dynamic analysis of reinforced concrete buildings
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CONSTRUCTION AND BUILDING MATERIALS 2008年 第5期22卷 788-800页
作者: Caglar, Naci Elmas, Muzaffer Yaman, Zeynep Dere Saribiyik, Mehmet Sakarya Univ Dept Civil Engn TR-54187 Sakarya Turkey Sakarya Univ Technol Educ Fac TR-54187 Sakarya Turkey
The objective of this study is to investigate the adequacy of Artificial Neural Networks (ANN) as a securer, quicker and more robust method to determine the dynamic response of buildings in 3D. For this purpose, two A... 详细信息
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Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks
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CONSTRUCTION AND BUILDING MATERIALS 2007年 第2期21卷 384-394页
作者: Pala, Murat Ozbay, Erdogan Oztas, Ahmet Yuce, M. Ishak Univ Gaziantep Tech Programs Dept Kilis MYO TR-79000 Kilis Turkey Univ Gaziantep Dept Civil Engn TR-27310 Gaziantep Turkey
This study focuses on studying the effects of fly ash and silica fume replacement content on the strength of concrete cured for a long-term period of time by neural networks (NNs). Applicability of NNs to evaluate the... 详细信息
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