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標(biāo)題: Titlebook: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L; Jonathan Amezcua,Patricia Melin,Osca [打印本頁]

作者: gratuity    時(shí)間: 2025-3-21 17:54
書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L影響因子(影響力)




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L影響因子(影響力)學(xué)科排名




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L網(wǎng)絡(luò)公開度




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L被引頻次




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L被引頻次學(xué)科排名




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L年度引用




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L年度引用學(xué)科排名




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L讀者反饋




書目名稱New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L讀者反饋學(xué)科排名





作者: 流動(dòng)才波動(dòng)    時(shí)間: 2025-3-21 21:27

作者: 射手座    時(shí)間: 2025-3-22 00:36
Jonathan Amezcua,Patricia Melin,Oscar Castilloebensdauer nach einer Krebsoperation, nicht nur für die gesamte Erhebung, sondern auch für Teilgesamtheiten oder Schichten betrachten, die durch Kategorien anderer Merkmale oder Einflu?faktoren wie Baualterskategorien, m?nnliche bzw. weibliche W?hler, Behandlungsgruppen bestimmt sind. Durch den Verg
作者: 竊喜    時(shí)間: 2025-3-22 08:01

作者: Spina-Bifida    時(shí)間: 2025-3-22 11:03
Book 2018 arrhythmias, and a satellite images segments dataset used for classifying six different types ofsoil. Both datasets show interesting features that makes them interesting for testing new classification methods...?.
作者: Pericarditis    時(shí)間: 2025-3-22 16:36
2191-530X signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types ofsoil. Both datasets show interesting features that makes them interesting for testing new classification methods...?.978-3-319-73772-0978-3-319-73773-7Series ISSN 2191-530X Series E-ISSN 2191-5318
作者: 北極熊    時(shí)間: 2025-3-22 18:15
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/n/image/664920.jpg
作者: 松緊帶    時(shí)間: 2025-3-22 22:42
https://doi.org/10.1007/978-3-319-73773-7Computational Intelligence; Modular Neural Networks; LVQ; Type-2 Fuzzy Logic; Learning Vector Quantizati
作者: 協(xié)定    時(shí)間: 2025-3-23 02:22
Simulation Results,s was considered for training the models, and the 30% was used for testing. The testing sets were chosen randomly from the whole dataset, this means, the testing sets were always composed by different vectors for testing the models.
作者: atopic-rhinitis    時(shí)間: 2025-3-23 06:38

作者: Detoxification    時(shí)間: 2025-3-23 10:07

作者: 沙文主義    時(shí)間: 2025-3-23 16:42
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy L978-3-319-73773-7Series ISSN 2191-530X Series E-ISSN 2191-5318
作者: Limousine    時(shí)間: 2025-3-23 21:32
Introduction, objects have their own attributes, and which attributes are considered for classifying an object (or event) will depend on the problem to work with. For example, a heart disease could be classified using data obtained from a Holter device, a tumor or a cancer cell could be classified based on the data of an image.
作者: 強(qiáng)行引入    時(shí)間: 2025-3-24 01:55

作者: narcotic    時(shí)間: 2025-3-24 02:24
Proposed Classification Method,he LVQ algorithm, letting the fuzzy system to determine which of the cluster centers is the nearest to an input vector, and then moving the cluster center either towards or away from the input vector. Fuzz LVQ modular architectures were developed in order to test two datasets.
作者: 巨大沒有    時(shí)間: 2025-3-24 09:07

作者: 費(fèi)解    時(shí)間: 2025-3-24 11:54

作者: GROVE    時(shí)間: 2025-3-24 15:04
Book 2018n (LVQ) and type-2 fuzzy logic.? This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a
作者: 使更活躍    時(shí)間: 2025-3-24 20:17

作者: COW    時(shí)間: 2025-3-25 01:59
Problem Statement,d for classifying faulty LEDs, in Fallah et al. (Proceedings of International MultiConference of Engineers and Computer Scientists, IMECS 2010. Hong Kong [.]) LVQ was used for iris recognition and classification using an artificial vision system. In addition in recent work LVQ has been also used for
作者: EWER    時(shí)間: 2025-3-25 04:13
Proposed Classification Method,ation of arrhythmias, and different types of soil based on satellite images segments. The fuzzy approach was implemented in the competitive layer of the LVQ algorithm, letting the fuzzy system to determine which of the cluster centers is the nearest to an input vector, and then moving the cluster ce
作者: RODE    時(shí)間: 2025-3-25 10:07

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作者: NAV    時(shí)間: 2025-3-25 19:33

作者: Infraction    時(shí)間: 2025-3-25 22:20
Jonathan Amezcua,Patricia Melin,Oscar Castilloen eines einzelnen Merkmals bestehen, in geeigneter Weise dargestellt, beschrieben und untersucht werden k?nnen. Neben den üblichen Mitteln der univariaten deskriptiven Statistik wie Histogrammen und Ma?zahlen zu Lage und Streuung werden einige einfache Techniken der explorativen Datenanalyse wie Bo
作者: 輕信    時(shí)間: 2025-3-26 00:18
ik in der sechsten, stark erweiterten und vollst?ndig überarbeiteten Auflage folgende Pluspunkte:..Hervorragende Eignung für Selbststudium, Vorlesung und Unterricht..Das Werk wird an mehreren Hochschulen vorlesungserg?nzend eingesetzt. Es eignet sich bestens zur beruflichen Weiterbildung, für das Se
作者: 容易做    時(shí)間: 2025-3-26 06:29
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