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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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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
来源: 评论
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
来源: 评论
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
来源: 评论
Neural Network Approximation of Helicopter Turboshaft Engine Parameters for Improved Efficiency
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ENERGIES 2024年 第9期17卷 2233页
作者: Vladov, Serhii Yakovliev, Ruslan Bulakh, Maryna Vysotska, Victoria Kharkiv Natl Univ Internal Affairs Kremenchuk Flight Coll 17-6 Peremohy St UA-39605 Kremenchuk Ukraine Rzeszow Univ Technol Fac Mech & Technol PL-37450 Stalowa Wola Poland Lviv Polytech Natl Univ Informat Syst & Networks Dept 12 Bandera St UA-79013 Lvov Ukraine Osnabruck Univ Inst Comp Sci 1 Friedrich Janssen St D-49076 Osnabruck Germany
The work is devoted to the development of a method for neural network approximation of helicopter turboshaft engine parameters, which is the basis for researching engine energy characteristics to improve efficiency, r... 详细信息
来源: 评论
Learning algorithms for Quaternion-Valued Neural Networks
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NEURAL PROCESSING LETTERS 2018年 第3期47卷 949-973页
作者: Popa, Calin-Adrian Polytech Univ Timisoara Dept Comp & Software Engn Blvd V Parvan 2 Timisoara 300223 Romania
This paper presents the deduction of the enhanced gradient descent, conjugate gradient, scaled conjugate gradient, quasi-Newton, and Levenberg-Marquardt methods for training quaternion-valued feedforward neural networ... 详细信息
来源: 评论
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
来源: 评论
Design of a short tensile coupon for fiber reinforced plastic using artificial neural networks
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SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS 2005年 第4期12卷 261-271页
作者: Saribiyik, M Caglar, N Firat, S Sakarya Univ Dept Construct TR-54187 Adapazari Turkey Sakarya Univ Dept Civil Engn TR-54187 Adapazari Turkey
The measurement of the mechanical properties of Fibre Reinforced Plastic (FRP) material is necessary for numerical structural analysis and design. The mechanical properties of the FRP materials may be determined by sp... 详细信息
来源: 评论
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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Short-Term Load Forecasting Based on a Improved Deep Belief Network
Short-Term Load Forecasting Based on a Improved Deep Belief ...
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6th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)
作者: Zhang, Xiaoyu Wang, Rui Zhang, Tao Zha, Yabin Natl Univ Def Technol Coll Informat Syst & Management Changsha 410073 Hunan Peoples R China
Short-term load forecast plays a vital role in the electric power industry. In this paper, a deep belief network is proposed for short-term load forecasting. However, the Back-Propagation (BP) algorithm of deep belief... 详细信息
来源: 评论
A neuro-fuzzy approach for modelling electricity demand in Victoria
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Applied Soft Computing 2001年 第2期1.0卷 127-138页
作者: Abraham, Ajith Nath, Baikunth Sch. of Comp. and Info. Technology Monash University Gippsland Campus 3842 Churchill Australia
Neuro-fuzzy systems have attracted growing interest of researchers in various scientific and engineering areas due to the increasing need of intelligent systems. This paper evaluates the use of two popular soft comput... 详细信息
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