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检索条件"主题词=BackPropagation Algorithm"
286 条 记 录,以下是221-230 订阅
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Aquifer parameters determination for large diameter wells using neural network approach
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JOURNAL OF HYDROLOGY 2002年 第1-4期265卷 118-128页
作者: Balkhair, KS King Abdulaziz Univ Fac Meteorol Environm & Arid Land Agr Dept Hydrol Jeddah 21589 Saudi Arabia
Use of artificial neural networks (ANNs) is becoming increasingly common in the analysis of groundwater hydrology and water resources problems. In this research, an ANN was developed and used to estimate aquifer param... 详细信息
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Classification of underground pipe scanned images using feature extraction and neuro-fuzzy algorithm
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IEEE TRANSACTIONS ON NEURAL NETWORKS 2002年 第2期13卷 393-401页
作者: Sinha, SK Karray, F Penn State Univ Civil & Environm Engn University Pk PA 16801 USA Univ Waterloo Syst Design Engn Waterloo ON NSL 3GL Canada
Pipeline surface defects such as holes and cracks cause major problems for utility managers, particularly when the pipeline is buried under the ground. Manual inspection for surface defects in the pipeline has a numbe... 详细信息
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Drying process modelling based on improved backpropagation algorithm
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IFAC Proceedings Volumes 1999年 第2期32卷 5082-5086页
作者: Tao Wu Xiaoming Xu Zhe Zhang Dengying Liu Department of Automation Shanghai Jiaotong University Shanghai 200030 P. R. China Institute of Engineering Thermophysics Chinese Academy of Sciences Beijing 100080 P. R. China
An improved backpropagation algorithm to simultaneously determine the optimal learning rate and momentum coefficient is applied to model the impingement stream drying process. Simulation results show that for those ne... 详细信息
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Identification and control of rotary traveling-wave type ultrasonic motor using neural networks
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IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 2001年 第4期9卷 672-680页
作者: Lin, FJ Wai, RJ Hong, CM Chung Yuan Christian Univ Dept Elect Engn Chungli 32023 Taiwan
Neural networks (NNs) with varied learning rates are proposed to identify and control a nonlinear time-varying plant in this study. First, the network structure and the online learning algorithm of an NN are described... 详细信息
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Application of chaotic noise reduction techniques to chaotic data trained by ANN
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SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 2001年 第5期26卷 485-494页
作者: Bhat, CCS Kaimal, MR Ramamohan, TR CSIR Reg Res Lab Unit 1 Thiruvananthapuram 695019 Kerala India
We propose a novel method of combining artificial neural networks (ANNs) with chaotic noise reduction techniques that captures the metric and dynamic invariants of a chaotic time series, e.g. a time series obtained by... 详细信息
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Diagnosing failed distribution transformers using neural networks
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IEEE TRANSACTIONS ON POWER DELIVERY 2001年 第4期16卷 631-636页
作者: Farag, AS Mohandes, M Al-Shaikh, A King Fahd Univ Petr & Minerals Dhahran 31261 Saudi Arabia SCECO E EDSD EED Dammam Saudi Arabia
An Artificial Neural Networks (ANN) system was developed for distribution transformer's failure diagnosis. The diagnosis was based on the latest standards and expert experiences in this field. The ANN was trained ... 详细信息
来源: 评论
Adaptive predistortion for solid state power amplifier using multi-layer perceptron
Adaptive predistortion for solid state power amplifier using...
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IEEE Global Telecommunications Conference (GLOBECOM 01)
作者: Langlet, F Abdulkader, H Roviras, D Mallet, A Castanié, F ENSEEIHT TeSA F-31071 Toulouse France
In this paper, we present two adaptive predistortions techniques for non-linear satellite amplifiers. The amplifier gives two kind of distortions: amplitude distortion (AM/AM conversion) and phase distortion (AM/PM co... 详细信息
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A learning algorithm with activation function manipulation for fault tolerant neural networks
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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2001年 第7期E84D卷 899-905页
作者: Kamiura, N Taniguchi, Y Hata, Y Matsui, N Himeji Inst Technol Dept Comp Engn Himeji Hyogo 6712201 Japan
In this paper we propose a learning algorithm to enhance the fault tolerance of feedforward neural networks (NNs for short) by manipulating the gradient of sigmoid activation function of the neuron. We assume stuck-at... 详细信息
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A Recurrent Neural Network Model of the B.t. Fed-Batch Fermentation Process 1
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IFAC Proceedings Volumes 2001年 第5期34卷 385-390页
作者: Barrera-Cortés J. Baruch I. Valdez-Castro L. Vázquez-Cervantes V. Department of Biotechnology and Bioengineering Department of Automatic Control Avenida Instituto Politécnico Nacional No 2508 Col. San Pedro Zacatenco A.P. 14-470 México D.F. Mexico. C.P. 07360 Fax: (+52-5)747-38-00 ext. 4305
This paper proposes the use of a new Recurrent Trainable Neural Network model (RTNN) for modeling the fed-batch fermentation kinetics data of Bacillus thuringiensis as a function of the operational conditions. The pro... 详细信息
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Efficient mapping of backpropagation algorithm onto a network of workstations
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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 1998年 第6期28卷 841-848页
作者: Sudhakar, V Murthy, CSR Indian Inst Technol Dept Comp Sci & Engn Madras 600036 Tamil Nadu India
In this paper, we present an efficient technique for mapping a backpropagation (BP) learning algorithm for multilayered neural networks onto a network of workstations (NOW's). We adopt a vertical partitioning sche... 详细信息
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