標(biāo)題: Titlebook: New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks; Fernando Gaxiola,Patricia Melin,Fevrier Valdez Book 2016 The [打印本頁] 作者: Taylor 時間: 2025-3-21 18:43
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks影響因子(影響力)
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks影響因子(影響力)學(xué)科排名
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks網(wǎng)絡(luò)公開度
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks被引頻次
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks被引頻次學(xué)科排名
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks年度引用
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks年度引用學(xué)科排名
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks讀者反饋
書目名稱New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks讀者反饋學(xué)科排名
作者: recede 時間: 2025-3-21 21:04 作者: ALT 時間: 2025-3-22 02:30
Fernando Gaxiola,Patricia Melin,Fevrier Valdezopriately chosen effective diameter. Hard spheres are a starting point in the theory of liquids, as an ideal gas is in the theory of gases and a harmonic solid in solid-state physics. Nowadays a lot of data is available from computer simulations of hard spheres and from integral theories of correlat作者: forbid 時間: 2025-3-22 07:35 作者: 頌揚(yáng)本人 時間: 2025-3-22 09:49 作者: inferno 時間: 2025-3-22 13:35
duced in most particle sources. For these situations one can describe the systems with the microcanonical ensemble, apart from the short times during which the particles are exposed to some external manipulation (laser light, collisions), and possibly exchange of thermal radiation with the surroundi作者: Servile 時間: 2025-3-22 19:29
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks作者: 貪婪地吃 時間: 2025-3-23 01:10
Book 2016 to a cases of prediction for the Mackey-Glass (for ?=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation ap作者: 新鮮 時間: 2025-3-23 04:05 作者: 報復(fù) 時間: 2025-3-23 07:52
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks978-3-319-34087-6Series ISSN 2191-530X Series E-ISSN 2191-5318 作者: resistant 時間: 2025-3-23 12:52
Introduction,In this book we propose an adaptation of weights in the back-propagation algorithm for neural networks using type-2 and type-1 fuzzy inference systems.作者: EXUDE 時間: 2025-3-23 16:26 作者: cipher 時間: 2025-3-23 21:22 作者: 知識分子 時間: 2025-3-23 23:44
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/n/image/664865.jpg作者: extinguish 時間: 2025-3-24 05:21
https://doi.org/10.1007/978-3-319-34087-6Computational Intelligence; Neural Networks; Type-2 Fuzzy Weight; Back-propagation Algorithm for Neural作者: 原來 時間: 2025-3-24 07:39
Problem Statement and Development,he neural network to handle data with uncertainty. In the type-2 fuzzy sets, it will be necessary vary the footprint of uncertainty (FOU) of the membership functions using an optimization method to make it automatically or vary it manually for the corresponding applications [.–.].作者: PUT 時間: 2025-3-24 13:57
led derivations.Includes supplementary material: .This course-tested primer provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of compl作者: 流利圓滑 時間: 2025-3-24 17:00
Fernando Gaxiola,Patricia Melin,Fevrier Valdezms reduces to the following. The system under consideration is decomposed into a reference model, characterized by some reference interaction potential and the same density and temperature as the original system, and a perturbation which, strictly speaking, must be small.. Properties of the referenc作者: Peristalsis 時間: 2025-3-24 20:28 作者: 你不公正 時間: 2025-3-24 23:43 作者: arrhythmic 時間: 2025-3-25 03:52
s to avoid the effects of the interaction with a substrate, unless this interaction is the object of study. A large number of studies have therefore been performed on free clusters, either in molecular beams or in devices such as storage rings or ion traps, which are devices where ions can be stored作者: harangue 時間: 2025-3-25 09:38
Problem Statement and Development,he neural network to handle data with uncertainty. In the type-2 fuzzy sets, it will be necessary vary the footprint of uncertainty (FOU) of the membership functions using an optimization method to make it automatically or vary it manually for the corresponding applications [.–.].作者: 污點(diǎn) 時間: 2025-3-25 13:40 作者: ALIAS 時間: 2025-3-25 15:49
2191-530X od architecture and the adaptation of type-2 fuzzy weights.PIn this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed met作者: 你不公正 時間: 2025-3-25 22:09 作者: 相反放置 時間: 2025-3-26 02:35 作者: Gesture 時間: 2025-3-26 04:48
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