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检索条件"主题词=training algorithms"
115 条 记 录,以下是1-10 订阅
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training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets
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APPLIED SOFT COMPUTING 2014年 第1期25卷 26-39页
作者: Perez-Godoy, M. D. Rivera, Antonio J. Carmona, C. J. del Jesus, M. J. Univ Jaen Dept Comp Sci Jaen 23071 Spain
Nowadays, many real applications comprise data-sets where the distribution of the classes is significantly different. These data-sets are commonly known as imbalanced data-sets. Traditional classifiers are not able to... 详细信息
来源: 评论
training algorithms FOR BACKPROPAGATION NEURAL NETWORKS WITH OPTIMAL DESCENT FACTOR
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ELECTRONICS LETTERS 1990年 第20期26卷 1698-1700页
作者: YU, XH CHENG, SX Dept. of Radio Eng. Southeast Univ. Nanjing China
Poor convergence of existing training algorithms prevents wide applications of backpropagation neural networks. Several new training algorithms with very fast convergence are presented. They all use derivative informa... 详细信息
来源: 评论
Combining various training and adaptation algorithms for ensemble few-shot classification
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NEURAL NETWORKS 2025年 185卷 107211页
作者: Jiang, Zhen Tang, Na Sun, Jianlong Zhan, Yongzhao Jiangsu Univ Sch Comp Sci & Commun Engn Zhenjiang Peoples R China
To mitigate the shortage of labeled data, Few-Shot Classification (FSC) methods train deep neural networks (DNNs) on a base dataset with sufficient labeled data, and then adapt them to target tasks using a few labeled... 详细信息
来源: 评论
River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network training algorithms-A Case Study in Malaysia
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WATER RESOURCES MANAGEMENT 2012年 第7期26卷 1879-1897页
作者: Mustafa, M. R. Rezaur, R. B. Saiedi, S. Isa, M. H. Univ Teknol Petronas Dept Civil Engn Bandar Seri Iskandar 31750 Tronohperak Dar Malaysia Golder Associates Calgary AB T2A 7W5 Canada
Estimation of suspended sediment discharge in rivers has a vital role in dealing with water resources problems and hydraulic structures. In this study, a Multilayer Perceptron (MLP) feed forward neural network with fo... 详细信息
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Linear neural network training algorithms for real-world benchmark problems
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INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 2002年 第11期79卷 1149-1167页
作者: Goulianas, K Adamopoulos, M Katsavounis, S Fragakis, C Tsouros, CC Technol Educ Inst Thessaloniki Dept Informat Thessaloniki Greece Univ Macedonia Dept Informat Thessaloniki Greece Aristotle Univ Thessaloniki Fac Engn Thessaloniki Greece
This paper describes the Adaptive Steepest Descent (ASD) and Optimal Fletcher-Reeves (OFR) algorithms for linear neural network training. The algorithms are applied to well-known pattern classification and function ap... 详细信息
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Neural network based prediction of mechanical properties of particulate reinforced metal matrix composites using various training algorithms
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MATERIALS & DESIGN 2007年 第2期28卷 616-627页
作者: Koker, Rasit Altinkok, Necat Demir, Adem Sakarya Univ Fac Engn Dept Comp Engn TR-54187 Sakarya Turkey Sakarya Univ Tech Educ Fac Dept Met Educ TR-54187 Sakarya Turkey
Recently, artificial neural networks are used as an. interdisciplinary tool m many applications. There are various training algorithms used in neural network applications. In this study, it is aimed to investigate the... 详细信息
来源: 评论
FAST training algorithms FOR MULTILAYER NEURAL NETS
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IEEE TRANSACTIONS ON NEURAL NETWORKS 1991年 第3期2卷 346-354页
作者: BRENT, RP IEEE Computer Sciences Laboratory Australian National University
training a multilayer neural net by back-propagation is slow and requires arbitrary choices regarding the number of hidden units and layers. This paper describes an algorithm which is much faster than back-propagation... 详细信息
来源: 评论
training multilayered perceptrons for pattern recognition: a comparative study of four training algorithms
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INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE 2001年 第3期41卷 419-430页
作者: Pham, DT Sagiroglu, S Cardiff Univ Mfg Engn Ctr Intelligent Syst Lab Cardiff CF24 3TE S Glam Wales Erciyes Univ Fac Engn Dept Comp Engn Intelligent Syst Res Grp TR-38039 Kayseri Turkey
This paper presents an overview of four algorithms used for training multilayered perceptron (MLP) neural networks and the results of applying those algorithms to teach different MLPs to recognise control chart patter... 详细信息
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Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe-CuO/Eg-Water nanofluid
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PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 2019年 519卷 159-168页
作者: Bahrami, Mehrdad Akbari, Mohammad Bagherzadeh, Seyed Amin Karimipour, Arash Afrand, Masoud Goodarzi, Marjan Islamic Azad Univ Najafabad Branch Dept Mech Engn Najafabad Iran Ton Duc Thang Univ Fac Environm & Labour Safety Sustainable Management Nat Resources & Environm R Ho Chi Minh City Vietnam
The artificial neural network optimization method is evaluated according to the experimental results of the hybrid non-Newtonian nanofluid of iron and copper oxide in a binary mixture of water and ethylene glycol conc... 详细信息
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Evaluation of MLP-ANN training algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
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JOURNAL OF HYDROLOGIC ENGINEERING 2013年 第1期18卷 50-57页
作者: Mustafa, M. R. Rezaur, R. B. Saiedi, S. Rahardjo, H. Isa, M. H. Univ Teknol Petronas Dept Civil Engn Tronoh 31750 Perak Darul Rid Malaysia Golder Associates Calgary AB T2A 7W5 Canada Nanyang Technol Univ Sch Civil & Environm Engn Singapore 639798 Singapore
Knowledge of pore-water pressure responses to rainfall is vital in slope failure and slope hydrological studies. The performance of four artificial neural network (ANN) training algorithms was evaluated to identify th... 详细信息
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