Results 251 to 260 of about 181,909 (270)

Antenna recognition based on BP neural network

2012 6th Asia-Pacific Conference on Environmental Electromagnetics (CEEM), 2012
This paper studies several commonly used algorithms in the BP neural network. Training the BP neural network under these different algorithms can see the various performance of their networks. The study of both classical BP algorithm and LM algorithm will find the improvements of LM algorithm.
null ChunyanZhao, null Dan Shi, null Yougang Gao   +2 more
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Recognition Workpiece Based on BP Neural Network

2010 International Conference on Computational Intelligence and Software Engineering, 2010
This research is an attempt to design an Algorithm to recognize workpiece in order to guide a manipulator approach the workpiece and pick it to feed into a mould mounted on platform of the press. Back propagation algorithm is applied on a supervised classification of workpiece images.
Shi-xiang Tian, Sheng-ze Wang
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BP Neural Network Based SubPixel Mapping Method

2006
A new subpixel mapping method based on BP neural network is proposed to improve spatial resolution of both raw hyperspectral imagery (HSI) and its fractional image. The network is used to train a model that describes the relationship between mixed pixel accompanied by its neighbors and the spatial distribution within the pixel.
Liguo Wang, Ye Zhang, Jiao Li
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Expression Recognition Based on BP Neural Network

2012 International Conference on Computer Science and Electronics Engineering, 2012
The way computers interact with humans is changing with the continuous development of computer technology in the field of affective computing. A human facial expression is the formation of facial muscle movement. In our previous research, we had proposed a method of identifying facial muscle movement which based on motion templates and Gentle Boost ...
Chang Liu, Jian-zheng Liu
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SWBF Classification Based on BP Neural Network

ACTA PHOTONICA SINICA, 2011
A new method which classification of simulated wake bubble films(SWBF)can be obtained by using imaging processing methods.The paper introducts the basic structure and working principals of the BP neural network,the simulation tested classification of SWBF image based on BP neural network.The characteristic quantities such as mean value,normalized ...
常洋 CHANG Yang, 崔红 CUI Hong, 张建生 ZHANG Jiansheng   +2 more
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Building settlement forecast using BP neural network

2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011
In order to calculate building settlement forecast accurately and construction operation safely, a building settlement forecast method using BP neural network was put forward with deeply analysis of existing building settlement prediction methods. Firstly, BP neural network learning samples are established based on time series analysis method, a three ...
Peixian Li, Zhixiang Tan, Lili Yan, Kazhong Deng   +3 more
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Logistics supplier selection by BP neural network

2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010
In order to select appropriate logistics suppliers, and by using of advantages of BP neural networks with self-organizing, self-learning, anti-interference, etc. a logistics supplier selection model was constructed, and an integrated logistics suppliers' capacity (performance) evaluation BP neural network was established, also, BP algorithm was ...
null Cheng-dong Shi, null Dun-xin Bian, null Cun-shan Zhang   +2 more
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BP Neural Networks Based Sensor Registration Algorithm

2011 International Conference on Computational and Information Sciences, 2011
In multi-sensor multi-target fusion systems the sensor registration is the major problem which is generally inadequate. The typical registration algorithms are based on statistics, such as LSE, ML etc. and on filtering theory, such as KF, EKF etc. They all are parametric methods namely. We propose a new algorithm that is based on ANN, nonparametric and
Hong Ye, Zhanping Yang, Jun Li, Shiling Li   +3 more
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Research on ACA-BP Neural Network Model

2009
This paper proposes a new model called ACA-BP network. This network combines ant colony algorithm (ACA) with neural network and adopts ant colony algorithm to train authority value and threshold value of BP nerve network. It not only has the extensive mapping ability of neural network, but also has the advantages of high efficiency, rapid global ...
Qing Chen, Yuxiang Shao, Zhifeng Liu
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Convergence in BP & Kohonen neural networks

2023
This report presents an investigation on the convergence behaviour of Backpropagation and Kohonen neural networks. The causes of convergence problems have been identified and current techniques for overcoming them are reported. Two new techniques are also presented for improvement of the convergence rate of the Backpropagation neural network.
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