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检索条件"主题词=BackPropagation Algorithm"
284 条 记 录,以下是231-240 订阅
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Efficient training and improved performance of multilayer perceptron in pattern classification
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NEUROCOMPUTING 2000年 第1-4期34卷 11-27页
作者: Chaudhuri, BB Bhattacharya, U Indian Stat Inst Comp Vis & Pattern Recognit Unit Calcutta 700035 W Bengal India
In pattern recognition problems, the convergence of backpropagation training algorithm of a multilayer perceptron is slow if the concerned classes have complex decision boundary. To improve the performance, we propose... 详细信息
来源: 评论
A novel fuzzy neural network based distance relaying scheme
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IEEE TRANSACTIONS ON POWER DELIVERY 2000年 第3期15卷 902-907页
作者: Dash, PK Pradhan, AK Panda, G Reg Engn Coll Dept Elect Engn Rourkela India
This paper presents a nem approach to distance relaying using fuzzy neural network (FNN). The FNN can be viewed either as a fuzzy system, a neural network or fuzzy neural network. The structure is seen as a neural net... 详细信息
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Use of an artificial neural network to predict population dynamics of the forest-pest pine needle gall midge (Diptera: Cecidomyiida)
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ENVIRONMENTAL ENTOMOLOGY 2000年 第6期29卷 1208-1215页
作者: Chon, TS Park, YS Kim, JM Lee, BY Chung, YJ Kim, Y Pusan Natl Univ Dept Biol Pusan 609735 South Korea
The backpropagation algorithm in artificial neural networks was used to forecast dynamic data of a forest pest population of the pine needle gall midge, Thecodiplosis japonensis Uchida et Inouye, a serious pest in pin... 详细信息
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Force learn algorithm - training a neural net with patterns which have highest errors  5
Force learn algorithm - training a neural net with patterns ...
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5th Seminar on Neural Network Applications in Electrical Engineering
作者: Ilic, V Univ Belgrade Fac Elect Engn YU-11001 Belgrade Yugoslavia
This study describes training methods of the neural nets with the backpropagation algorithm of learning in which the priority is given to the patterns of the training sd with the maximum error during the training.
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On a weight limit approach for enhancing fault tolerance of feedforward neural networks
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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2000年 第11期E83D卷 1931-1939页
作者: Kamiura, N Isokawa, T Hata, Y Matsui, N Yamato, K Himeji Inst Technol Dept Comp Engn Himeji Hyogo 6712201 Japan Hyogo Med Univ Dept Econ & Informat Sci Kakogawa 6750101 Japan
To enhance fault tolerance ability of the feedforward neural networks (NNs for short) implemented in hardware, we discuss the learning algorithm that converges without adding extra neurons and a large amount of extra ... 详细信息
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Neural Network Speed Identification Scheme for Speed Sensor-less DTC Induction Motor Drive System
Neural Network Speed Identification Scheme for Speed Sensor-...
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The Third International Power Electronics and Motion Control Conference
作者: Xianmin Ma Zhi Na Department of Automation Engineering Of XiE28099an University of Science and Technology Xi'an Shanxi China Department of Automation Engineering Xi''an University of Science and Technology Xi'an Shanxi China
A novel neural network speed identification scheme for the speed sensorless direct torque control (DTC) of an induction motor drive system is presented in the paper. The system uses current and voltage sensors for rot... 详细信息
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Application of neural networks to the modelling of some constitutive laws
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NEURAL NETWORKS 1999年 第2期12卷 371-392页
作者: Pernot, S Lamarque, CH Ecole Natl Travaux Publ Etat DGCB LGM URA CNRS 1652 F-69518 Vaulx En Velin France
This study investigates the modelling of constitutive laws of materials by neural networks. Material behaviour is no longer represented mathematically but is described by neuronal modelling. The main aim is to build a... 详细信息
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Compact building blocks for artificial neural networks
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ELECTRONICS LETTERS 1999年 第1期35卷 56-57页
作者: Meléndez-Rodríguez, M Silva-Martínez, J Natl Inst Astrophys Opt & Elect Integrated Circuit Design Grp Puebla 72000 Mexico
A four quadrant analogue multiplier, an activation function and a differentiator intended for the implementation of backpropagation algorithms are proposed. The priorities for the design are low-power, low-voltage, an... 详细信息
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Accelerating neural network training using weight extrapolations
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NEURAL NETWORKS 1999年 第9期12卷 1285-1299页
作者: Kamarthi, SV Pittner, S Northeastern Univ Dept Mech Ind & Mfg Engn Snell Eng Ctr 334 Boston MA 02115 USA
The backpropagation (BP) algorithm for training feedforward neural networks has proven robust even for difficult problems. However, its high performance results are attained at the expense of a long training time to a... 详细信息
来源: 评论
Active cancellation system of acoustic noise in MR imaging
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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 1999年 第2期46卷 186-191页
作者: Chen, GK Chiueh, TD Chen, JH Natl Taiwan Univ Dept Elect Engn Taipei 10617 Taiwan
In this paper, we introduce a new neural-network architecture fur reducing the acoustic noise level in magnetic resonance (MR) imaging processes. The proposed neural network (NN) consists of two cascaded time-delay NN... 详细信息
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