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检索条件"主题词=Learning algorithm"
745 条 记 录,以下是41-50 订阅
排序:
Effective learning Model and activate learning algorithm for improving learning efficiency
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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2007年 第6期23卷 1849-1863页
作者: Peng, Shih-Jung Liang, Pi-Feng Chen, Deng-Jyi Natl Chiao Tung Univ Inst Comp Sci & Informat Engn Hsinchu 300 Taiwan
In recent years, technology developments are more rapidly. How to learn and obtain desired knowledge efficiently has become an important but complicated problem. We hope that there are methods can give us some suggest... 详细信息
来源: 评论
A fast learning algorithm based on extreme learning machine for regular fuzzy neural network
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年 第4期36卷 3263-3269页
作者: He, Chunmei Liu, Yaqi Yao, Tong Xu, Fanhua Hu, Yanyun Zheng, Jinhua Xiangtan Univ Coll Informat Engn Xiangtan 411105 Peoples R China NUST Coll Comp Sci & Engn Nanjing Jiangsu Peoples R China
The regular fuzzy neural network (RFNN) is a kind of fuzzy neural network by fuzzifying the feed-forward neural network. The RFNN can directly deal with the language information and it has the merits of fuzzy system a... 详细信息
来源: 评论
A linguistic information feed-back-based dynamical fuzzy system (LIFBDFS) with learning algorithm
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NEURAL COMPUTING & APPLICATIONS 2009年 第4期18卷 321-329页
作者: Gao, X. Z. Ovaska, S. J. Wang, X. Aalto Univ Inst Intelligent Power Elect FIN-02150 Espoo Finland
In this study, the linguistic information feed-back-based dynamical fuzzy system (LIFBDFS) proposed earlier by the authors is first introduced. The principles of alpha-level sets and backpropagation through time appro... 详细信息
来源: 评论
A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks
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NEURAL NETWORKS 1999年 第1期12卷 91-106页
作者: Cavalieri, S Mirabella, O Univ Catania Fac Engn Inst Informat & Telecommun I-95125 Catania Italy
The paper deals with the problem of fault tolerance in a multilayer perceptron network. Although it already possesses a reasonable fault tolerance capability, it may be insufficient in particularly critical applicatio... 详细信息
来源: 评论
ITERATIVE MIDDLE MAPPING learning algorithm FOR CELLULAR NEURAL NETWORKS
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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1994年 第4期E77A卷 706-715页
作者: HE, C USHIDA, A Tokushima Univ Tokushima Japan
In this paper, a middle-mapping learning algorithm for cellular associative memories is *** algorithm makes full use of the properties of the cellular neural network so that the associative memory has some advantages ... 详细信息
来源: 评论
A learning algorithm based estimation method for maintenance cost of product concepts
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COMPUTERS & INDUSTRIAL ENGINEERING 2006年 第1-2期50卷 66-75页
作者: Seo, Kwang-Kyu Ahn, Beum Jun Sangmyung Univ Div Comp Informat & Telecommun Engn Dept Ind Informat & Syst engn San 98-20Anso Dong Cheonan 330720 Chungnam South Korea
Life cycle concerns have been realized a major issue of increasing importance. Life cycle cost as analytical method has been developed to enable comprehensive cost analysis to improve economic performance of products ... 详细信息
来源: 评论
EXPLORATIONS OF THE MEAN FIELD-THEORY learning algorithm
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NEURAL NETWORKS 1989年 第6期2卷 475-494页
作者: PETERSON, C HARTMAN, E MICROELECTR & COMP TECHNOL CORP AUSTINTX
The mean field theory (MFT) learning algorithm is elaborated and explored with respect to a variety of tasks. MFT is benchmarked against the back-propagation learning algorithm (BP) on two different feature recognitio... 详细信息
来源: 评论
Fault diagnosis based on the quality effect of learning algorithm for manufacturing systems
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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2019年 第7期233卷 801-814页
作者: Djelloul, Imene Sari, Zaki Sidibe, Ibrahima Dit Bouran Univ Abou Bekr Belkaid Tlemcen MELT Tilimsen Algeria Higher Sch Appl Sci Algiers ESSA Alger Rue Bab El Oued Algiers 16000 Algeria Ctr Format & Perfectionnement Stat CFP STAT Bamako Mali
Fault diagnosis is becoming an important issue in industrial environment, and the accurate diagnosis is the most significant part in fault handling. This article discusses a fault detection and diagnosis problem for m... 详细信息
来源: 评论
A NEURON-WEIGHTED learning algorithm AND ITS HARDWARE IMPLEMENTATION IN ASSOCIATIVE MEMORIES
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IEEE TRANSACTIONS ON COMPUTERS 1993年 第5期42卷 636-640页
作者: WANG, T ZHUANG, XH XING, XL XIAO, XP UNIV MISSOURI DEPT ELECT & COMP ENGNCOLUMBIAMO 65211
A novel learning algorithm for a neuron-weighted associative memory (NWAM) is presented. The learning procedure is casted as a global minimization, solved by a gradient descent rule. We also describe an analog neural ... 详细信息
来源: 评论
Integration of learning algorithm on Fuzzy Min-Max Neural Networks
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Journal of Shanghai Jiaotong university(Science) 2017年 第6期22卷 733-741页
作者: 胡静 罗宜元 School of Electronic Information Engineering Shanghai Dianji UniversityShanghai 201306China
An integrated fuzzy min-max neural network(IFMMNN) is developed to avoid the classification result influenced by the input sequence of training samples, and the learning algorithm can be used as pure clustering,pure c... 详细信息
来源: 评论