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检索条件"主题词=BackPropagation Algorithm"
284 条 记 录,以下是141-150 订阅
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Comparative Analysis of Bayesian Regularization and Levenberg-Marquardt Training algorithm for Localization in Wireless Sensor Network
Comparative Analysis of Bayesian Regularization and Levenber...
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15th International Conference on Advanced Communications Technology (ICACT)
作者: Payal, Ashish Rai, C. S. Reddy, B. V. R. GGS Indraprastha Univ Univ Sch Informat & Commun Technol New Delhi India
Wireless sensor networks (WSNs) have many applications in the field of disaster management, military, healthcare and environmental monitoring. Capability of WSNs is further enhanced by the efficient localization algor... 详细信息
来源: 评论
backpropagation and Levenberg-Marquardt algorithm for Training Finite Element Neural Network
Backpropagation and Levenberg-Marquardt Algorithm for Traini...
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6th UKSim/AMSS European Symposium on Computer Modeling and Simulation (EMS)
作者: Reynaldi, Arnold Lukas, Samuel Margaretha, Helena Pelita Harapan Univ Fac Sci & Math Tangerang Banten Indonesia Pelita Harapan Univ Fac Comp Sci Tangerang Banten Indonesia
In this paper, finite element based neural network is developed. The purpose is to solve differential equation and inverse problem of differential equation. Inverse problem of differential equation is a problem to sol... 详细信息
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Optimization of type-2 Fuzzy Weight for Neural Network using Genetic algorithm and Particle Swarm Optimization
Optimization of type-2 Fuzzy Weight for Neural Network using...
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World Congress on Nature and Biologically Inspired Computing (NaBIC)
作者: Gaxiola, Fernando Melin, Patricia Valdez, Fevrier Castillo, Oscar Tijuana Inst Technol Tijuana Mexico
In this paper two bio-inspired methods are applied to optimize the type-2 fuzzy inference systems used in the neural network with type-2 fuzzy weights. The genetic algorithm and particle swarm optimization are used to... 详细信息
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backpropagation Learning Method with Interval Type-2 Fuzzy Weights in Neural Networks
Backpropagation Learning Method with Interval Type-2 Fuzzy W...
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International Joint Conference on Neural Networks
作者: Fernando Gaxiola Patricia Melin Fevrier Valdez Oscar Castillo Tijuana Institute of Technology Tijuana México
In this paper a neural network learning method with lower and upper type-2 fuzzy weight adjustment is proposed. The general mathematical analysis of the proposed learning method architecture and the adaptation of the ... 详细信息
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Off-line Handwritten Character Recognition Using Features Extracted from Binarization Technique
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AASRI Procedia 2013年 4卷 306-312页
作者: Amit Choudhary Rahul Rishi Savita Ahlawat Maharaja Surajmal Institute New Delhi India UIET Maharshi Dayanand University Rohtak India Maharaja Surajmal Institute of Technology New Delhi India
The choice of pattern classifier and the technique used to extract the features are the main factors to judge the recognition accuracy and the capability of an Optical Character Recognition (OCR) system. The main focu... 详细信息
来源: 评论
Off-Line Handwritten Character Recognition using Features Extracted from Binarization Technique
Off-Line Handwritten Character Recognition using Features Ex...
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2013 AASRI Conference on Intelligent Systems and Control(ISC 2013)
作者: Amit Choudhary Rahul Rishi Savita Ahlawat Maharaja Surajmal Institute UIET Maharshi Dayanand University Maharaja Surajmal Institute of Technology
The choice of pattern classifier and the technique used to extract the features are the main factors to judge the recognition accuracy and the capability of an Optical Character Recognition(OCR) system. The main foc... 详细信息
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Electroencephalography Analysis Using Neural Network and Support Vector Machine during Sleep
Electroencephalography Analysis Using Neural Network and Sup...
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2013 International Conference on Biomedical Engineering(ICBE 2013)
作者: JeeEun Lee Sun K.Yoo Graduate School of Biomedical Engineering Yonsei University Department of Medical Engineering College of Medicine Yonsei University
The purpose of this paper is to analyze sleep stages accurately using fast and simple classifiers based on the frequency domain of electroencephalography(EEG) signal. To compare and evaluate system performance, the ... 详细信息
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Design of an Under-Actuated Exoskeleton System for Walking Assist While Load Carrying
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ADVANCED ROBOTICS 2012年 第5-6期26卷 561-580页
作者: Yu, S. N. Lee, H. D. Lee, S. H. Kim, W. S. Han, J. S. Han, C. S. Hanyang Univ Ansan 426791 Kyeonggi Do South Korea Korea Atom Energy Res Inst Taejon 305353 South Korea Hansung Univ Seoul 136792 South Korea
This study proposes an under-actuated wearable exoskeleton system to carry a heavy load. To synchronize that system with a user, a feasible modular-type wearable system and its corresponding sensor systems are propose... 详细信息
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ANN based Sensor Faults Detection, Isolation, and Reading Estimates - SFDIRE: Applied in a nuclear process
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ANNALS OF NUCLEAR ENERGY 2012年 49卷 131-142页
作者: Elnokity, Omar Mahmoud, Imbaby I. Refai, Mohamed K. Farahat, Hasan M. Al Azhar Univ Fac Engn Cairo Egypt Atom Energy Author NRC Cairo Egypt
In this paper a new method is developed based on the capabilities of the Artificial Neural Networks (ANNs) to detect, isolate, and output an estimated reading of faulty sensor/s reading/s that serves in monitoring a c... 详细信息
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Twisted Quaternary Neural Networks
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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2012年 第4期7卷 397-401页
作者: Kobayashi, Masaki Nakajima, Akihiro Univ Yamanashi Interdisciplinary Grad Sch Med & Engn Kofu Yamanashi 4008511 Japan
The quaternary neural network (QNN) proposed by Nitta is a high-dimensional neural network. Nitta showed that its learning is faster than that of ordinary neural networks and the number of required parameters is almos... 详细信息
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