Results 241 to 250 of about 181,909 (270)

AE behaviors evaluation with bp neural network

Computers & Industrial Engineering, 1996
Abstract This paper reports our experiment on training a three layer forwards neural network with backpropagation algorithm (BP) to memorise acoustic emission (AE) behaviors of magnesium alloy during fatigue test process and perform the mapping from AE behaviors to fatigue crack propagation.
Runwei Cheng, Tatsumi TosawaMitsuo Gent, Hajime Kato, Yoshimasa Takayama   +3 more
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Coal Requirement Prediction Using BP Neural Network

2010 International Conference on E-Business and E-Government, 2010
Coal is one of the most important main energy-consuming resources in our society. It is important to forecast the coal requirement with high accuracy. BP neural network forecasting model has the typical of self-learning and self-adaptation. It is often used in these systems that are difficult to create accurate mathematical model.
Xu Xin, Xuli Hong
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Speaker recognition based on BP neural network

2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2020
Speaker recognition is a newly developed recognition field in the field of speech recognition. In recent years, with the increasingly wide use of artificial neural networks, a speaker recognition method based on the BP neural network has been proposed.
Zhongyao Wan, Leiqing Dai
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Quantum BP Neural Network for speech enhancement

2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA), 2009
Quantum Neural Network (QNN), a burgeoning new field which integrates quantum computation with classical neural network, can improve the inadequacies of artificial neural network. A model of quantum neuron and Quantum Back Propagation (BP) Neural Network based on quantum neuron are investigated.
null Fei Li, null Guobiao Xu
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Sales forecast based on BP neural network

2011 IEEE 3rd International Conference on Communication Software and Networks, 2011
A sales forecast model was designed based on BP (Back Propagation) neural network. The selection of network types, the determination of structural parameters, the processing of the network input and output data and other issues are also discussed. Experimental results show that the BP algorithm is applied to predict the contents of unknowing rules; it ...
Yuquan Qin, Haimin Li
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BP-Neural Network for Plate Number Recognition

International Journal of Digital Crime and Forensics, 2016
The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events.
Jia Wang, Wei Qi Yan
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Integration of TACO and BP Neural Network

2008 International Symposium on Intelligent Information Technology Application Workshops, 2008
As one of the extensive applications of artificial neural network, BP algorithm has some shortcomings such as local optimum. In this paper, we propose a new method--TACO-BP algorithm to train neural network, which may overcome the shortcoming. Firstly, we give description about the TACO-BP.
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BP Neural Network Based Animation Production Prediction

Applied Mechanics and Materials, 2014
In order to research the basic condition of animation production, this article chooses BP Neural Network to predict the animation production. We select 13 test samples, selected nine of them randomly as training samples, and the remaining four as the test samples. The coefficient of determination is 0.99839 and the mean relative error is 0.186125.
Ran Tao, Da Chao Yuan, Gang Yi Hu
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Character recognition using parallel BP neural network

2008 International Conference on Audio, Language and Image Processing, 2008
In the automated license plate recognition system, many reading errors are caused by inadequate character recognition method. This paper presents a novel character recognition method of license plate number based on parallel BP neural networks. This will enhance the accuracy of the recognition system that aims to read automatically the Chinese license ...
null Feng Yang, null Fan Yang
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Linearization learning method of BP neural networks

Wuhan University Journal of Natural Sciences, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Shaoqian, Ding, Lixin, Zhang, Jian, Tang, Xinhua   +3 more
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