Pattern classification of RGB color images using a BP neural network classifier

1993 ◽  
Author(s):  
Jiancheng Jia
Keyword(s):  
Neural Network ◽  
Pattern Classification ◽  
Bp Neural Network ◽  
Color Images ◽  
Neural Network Classifier

A Study on the Application of Learning Vector Quantization Neural Network in Pattern Classification

2014 ◽  
Vol 525 ◽  
pp. 657-660 ◽  
Author(s):  
Shuo Ding ◽  
Xiao Heng Chang ◽  
Qing Hui Wu
Keyword(s):  
Neural Network ◽  
Pattern Classification ◽  
Vector Quantization ◽  
Bp Neural Network ◽  
Back Propagation ◽  
Learning Vector Quantization ◽  
Classification Method ◽  
Two Dimensional ◽  
The One

Standard back propagation (BP) neural network has disadvantages such as slow convergence speed, local minimum and difficulty in definition of network structure. In this paper, an learning vector quantization (LVQ) neural network classifier is established, then it is applied in pattern classification of two-dimensional vectors on a plane. To test its classification ability, the classification results of LVQ neural network and BP neural network are compared with each other. The simulation result shows that compared with classification method based on BP neural network, the one based on LVQ neural network has a shorter learning time. Besides, its requirements for learning samples and the number of competing layers are also lower. Therefore it is an effective classification method which is powerful in classification of two-dimensional vectors on a plane.

Classification of heart sound signals with BP neural network and logistic regression

2017 ◽  
Author(s):  
Lina Li ◽  
Xinpei Wang ◽  
Xiaping Du ◽  
Yuanyuan Liu ◽  
Changchun Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Logistic Regression ◽  
Bp Neural Network ◽  
Heart Sound
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