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检索条件"主题词=BackPropagation Algorithm"
284 条 记 录,以下是161-170 订阅
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Fuzzy Entropy Based Neuro-Wavelet Identifier-Cum-Quantifier for Discrimination of Gases/Odors
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IEEE SENSORS JOURNAL 2011年 第7期11卷 1548-1555页
作者: Kumar, Ravi Das, R. R. Mishra, V. N. Dwivedi, R. Banaras Hindu Univ Inst Technol Dept Elect Engn Varanasi 221005 Uttar Pradesh India
In this paper, a new approach to design of an odor/gas identifier-cum-quantifier is presented. Dynamic response curves of an oxygen-plasma treated thick-film tin oxide sensor array exposed to four different gases were... 详细信息
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Training a network of mobile neurons
Training a network of mobile neurons
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International Joint Conference on Neural Networks (IJCNN)
作者: Apolloni, Bruno Bassis, Simone Valerio, Lorenzo Univ Milan Dept Comp Sci I-20122 Milan Italy Univ Milan Dept Math I-20122 Milan Italy
We introduce a new paradigm of neural networks where neurons autonomously search for the best reciprocal position in a topological space so as to exchange information more profitably. The idea that elementary processo... 详细信息
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Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
Multinodal Load Forecasting in Power Electric Systems using ...
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1st International Conference on High Performance Structures and Materials Engineering
作者: Altran, Alessandra Bonato Minussi, Carlos Roberto Martins Lopes, Mara Lucia Chavarette, Fabio Roberto Peruzzi, Nelson Jose UNESP Univ Estadual Paulista Fac Engn Dept Elect Engn Ave Jose Carlos Rossi 1370 BR-15385000 Ilha Solteira SP Brazil UNESP Fac Engn Dept Math BR-15385000 Avenida SP Brazil UNESP Dept Exact Sci BR-13484900 Avenida SP Brazil
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation func... 详细信息
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Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
Multinodal Load Forecasting in Power Electric Systems using ...
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2011 First International Conference on High Performance Structures and Materials Engineering (ICHPSM 2011)
作者: Alessandra Bonato Altran Carlos Roberto Minussi Mara Lucia Martins Lopes Fbio Roberto Chavarette Nelson Jos Peruzzi Faculty of Engeneering UNESP-Univ Estadual PaulistaDepartament of Electrical Engeneering Faculty of Engeneering UNESP-Univ Estadual PaulistaDepartament of Mathematics UNESP-Univ Estadual Paulista Department of Exact Science
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron,making use of radial basis functions as activation funct... 详细信息
来源: 评论
Analysis of international debt problem using artificial neural networks and statistical methods
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NEURAL COMPUTING & APPLICATIONS 2010年 第8期19卷 1207-1216页
作者: Yazici, Berna Memmedli, Memmedaga Aslanargun, Atilla Asma, Senay Anadolu Univ Dept Stat TR-26470 Eskisehir Turkey
It is known from the scientific researches that artificial neural networks are alternatives of statistical methods such as regression analysis and classification in recent years. Since multi-layer backpropagation neur... 详细信息
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A neural network-based approach for the prediction of urban SO2 concentrations in the Istanbul metropolitan area
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INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION 2010年 第4期40卷 301-321页
作者: Akkoyunlu, Atilla Yetilmezsoy, Kaan Erturk, Ferruh Oztemel, Ercan Yildiz Tech Univ Dept Environm Engn Fac Civil Engn TR-34220 Istanbul Turkey Bogazici Univ Fac Engn TR-34342 Istanbul Turkey Marmara Univ Fac Engn Dept Ind Engn TR-34722 Istanbul Turkey
A three-layer Artificial Neural Network (ANN) model was developed to forecast air pollution levels. The subsequent SO2 concentration (24-hour averaged) being the Output parameter of this study was estimated by seven i... 详细信息
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IDENTIFICATION OF NONLINEAR DYNAMICS OF NUCLEAR POWER REACTOR USING ADAPTIVE FEEDFORWARD NEURAL NETWORK
IDENTIFICATION OF NONLINEAR DYNAMICS OF NUCLEAR POWER REACTO...
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The 2nd Session of 2010 Workshop of Pakistan Academy of Sciences
作者: Arshad H.Malik Aftab A.Memon Muhammad R.Khan Directorate of Post Graduate Studies Mehran University of Engineering and TechnologyJamshoroSindhPakistan Department of Telecommunication Engineering Mehran University of Engineering & TechnologyJamshoroSindh Pakistan Electrical Engineering Pakistan Atomic Energy CommissionPakistan
In this paper,the authors have attempted the identification of real world non-linear time-varying Pressurized Heavy Water Reactor(PHWR) *** nonlinear dynamics is identified using adaptive feedforward neural network **... 详细信息
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Artificial Neural Networks Applied in Environmental Quality Assessment
Artificial Neural Networks Applied in Environmental Quality ...
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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010
作者: Liu Yijun,Tang Jiali,Jiang Hongfen,Zhu Guangping,Yu Zhimin School of Computer Engineering Jiangsu Teachers University of Technology Changzhou,China
The problem of environmental quality assessment is a pattern recognition problem,and a well-trained ANN can exploit the underlying nonlinear relationships that determine the environmental rating of a *** this study,we... 详细信息
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IDENTIFICATION OF NONLINEAR DYNAMICS OF NUCLEAR POWER REACTOR USING ADAPTIVE FEEDFORWARD NEURAL NETWORK
IDENTIFICATION OF NONLINEAR DYNAMICS OF NUCLEAR POWER REACTO...
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2010 Congress of Pakistan Academy of Sciences
作者: Arshad H.Malik Aftab A.Memon Muhammad R.Khan Directorate of Post Graduate Studies Mehran University of Engineering and TechnologyJamshoroSindhPakistan Department of Telecommunication Engineering Mehran University of Engineering & TechnologyJamshoroSindh Pakistan Electrical Engineering Pakistan Atomic Energy CommissionPakistan
In this paper,the authors have attempted the identification of real world non-linear time-varying Pressurized Heavy Water Reactor(PHWR) *** nonlinear dynamics is identified using adaptive feedforward neural network **... 详细信息
来源: 评论
Telecommunication Fraud Prediction Using backpropagation Neural Network
Telecommunication Fraud Prediction Using Backpropagation Neu...
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International Conference of Soft Computing and Pattern Recognition
作者: Mohamed, Azlinah Bandi, Ahmad Fuad Mohamed Tamrin, Abdul Razif Jaafar, Md Daud Hasan, Suriah Jusof, Faeizah Univ Teknol MARA Fac Math & Comp Sci Shah Alam Selangor Malaysia TM Innovat Ctr Telekom Res & Dev Sdn Bhd Cyberjaya Malaysia
Telecommunication fraud prediction in this paper is an interpolation problem that uses the daily telecommunication network services information to analyze and predict the alarm information generated from a detection e... 详细信息
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