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检索条件"主题词=BackPropagation Algorithm"
284 条 记 录,以下是181-190 订阅
排序:
Analysis of pattern classification for the multidimensional parity-bit-checking problem with hybrid evolutionary feed-forward neural network
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NEUROCOMPUTING 2007年 第7-9期70卷 1511-1524页
作者: Mangal, Manish Singh, Manu Pratap Dr BR Ambedkur Univ Inst Comp & Informat Sci Dept Comp Sci Agra Uttar Pradesh India
This paper describes the simulation of two hybrid evolutionary algorithms (EAs) to the feedforward neural networks (NNs) used in classification problems. Besides backpropagation algorithm, simple genetic algorithm and... 详细信息
来源: 评论
Identification Of A Liquid Saturated Steam Heat Exchanger Using Focused Time Lagged Recurrent Neural Network Model
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IETE JOURNAL OF RESEARCH 2007年 第1期53卷 69-82页
作者: Dudul, Sanjay V. St Gadge Baba Amravati Univ Fac Engn & Technol Dept Appl Elect Amravati 444602 India
[ABST].
来源: 评论
Re'current-fuzzy-neural-network-controlled linear induction motor servo drive using genetic algorithms
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2007年 第3期54卷 1449-1461页
作者: Lin, Faa-Jeng Huang, Po-Kai Chou, Wen-Der Natl Dong Hwa Univ Dept Elect Engn Hualien 974 Taiwan Lan Yang Inst Technol Dept Informat Management Ilan 261 Taiwan
A recurrent fuzzy neural network (RFNN) controller based on real-time genetic algorithms (GAs) is developed for a linear induction motor (LIM) servo drive in this paper. First, the dynamic model of an indirect field-o... 详细信息
来源: 评论
Real-time surface discrimination using an analog neural network implemented in a phase-shift laser rangefinder
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IEEE SENSORS JOURNAL 2007年 第9-10期7卷 1381-1387页
作者: Gatet, Laurent Tap-Beteille, Helene Lescure, Marc ENSEEIHT LOSE F-31071 Toulouse France
An analog neural network (NN) was developed for real-time surface recognition by using two photoelectrical signals issued from a phase-shift rangefinder. The NN architecture consists of a multilayer perceptron (MLP) w... 详细信息
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Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models
Exploring the non-linearity in empirical modelling of a stee...
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3rd International Conference on Modeling and Analysis of Semiconductor Manufacturing (MASM 2005)
作者: Das, Prasun Datta, Shubhabrata Indian Stat Inst SQC & OR Unit Kolkata 700108 India Bengal Engn & Sci Univ Sch Mat Sci & Engn Sibpur 711103 Howrah India
The relationship between the physical properties of metal is often very complex in nature with its chemistry and several other rolling parameters in operation. Non-linear regression models play a very important role i... 详细信息
来源: 评论
Robust modulation classification techniques using cumulants and hierarchical neural networks
Robust modulation classification techniques using cumulants ...
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Conference on Signal Processing, Sensor Fusion, and Target Recognition XVI
作者: DeClouet, John A. Naraghi-Pour, Mort Louisiana State Univ Dept Elect & Comp Engn Baton Rouge LA 70803 USA
The problem of automatic modulation classification is to identify the modulation type of a received signal from the signal parameters. Modulation classification has both military and civilian applications and has been... 详细信息
来源: 评论
A wavelet-based neural network applied to surface defect detection of LED chips
A wavelet-based neural network applied to surface defect det...
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4th International Symposium on Neural Networks (ISNN 2007)
作者: Lin, Hong-Dar Chung, Chung-Yu Chaoyang Univ Technol Dept Ind Engn & Management 168 Jifong E Rd Taichung 41349 Taiwan
This research explores the automated detection of surface defects that fall across two different background textures in a light-emitting diode (LED) chip. Water-drop defects, commonly found on chip surface, impair the... 详细信息
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Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models
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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2007年 第3期45卷 699-717页
作者: Das, Prasun Datta, Shubhabrata Indian Stat Inst SQC & OR Unit Kolkata 700108 India Bengal Engn & Sci Univ Sch Mat Sci & Engn Sibpur 711103 Howrah India
The relationship between the physical properties of metal is often very complex in nature with its chemistry and several other rolling parameters in operation. Non-linear regression models play a very important role i... 详细信息
来源: 评论
Measuring advertisement effectiveness - a neural network approach
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EXPERT SYSTEMS WITH APPLICATIONS 2006年 第1期31卷 159-163页
作者: Ramalingam, V Palaniappan, B Panchanatham, N Palanivel, S Annamalai Univ Dept Comp Sci & Engn Annamalainagar 608002 Tamil Nadu India Annamalai Univ Dept Business Adm Annamalainagar 608002 Tamil Nadu India
This study aims to incorporate Artificial Neural Network (ANN) for measuring the effectiveness of the TV broadcast advertisements (toothpaste) by discovering important factors that influence the advertisement effectiv... 详细信息
来源: 评论
Precise GPS orbit determination and prediction using H neural network
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JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 2006年 第2期29卷 211-219页
作者: Wang, HS Natl Taiwan Ocean Univ Dept Commun & Guidance Engn Chilung 202 Taiwan
In this paper, I present a method to determine and predict precisely the GPS satellite orbit by using a neural network. The neural network used in this paper is based on the BP (backpropagation) learning algorithm. Th... 详细信息
来源: 评论