Using visual feature extraction neural network model to improve performance of quadtree based image coding

1997 ◽  
Author(s):  
Zhongmin He
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Network Model ◽  
Neural Network Model ◽  
Image Coding ◽  
Visual Feature ◽  
Improve Performance ◽  
Visual Feature Extraction

Research on Aviation Material with Unsafe Events Prediction Based on BP Neural Network with PCA Feature Extraction

2014 ◽  
Vol 540 ◽  
pp. 488-491 ◽  
Author(s):  
Xu Sheng Gan ◽  
Hua Ping Li ◽  
Jing Shun Duanmu
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Aviation Material ◽  
Training Samples ◽  
Basic Features ◽  
Bp Neural Network Model ◽  
Better Than

In order to better predict the aviation material unsafe events, a BP neural network model based on PCA feature extraction is proposed. Firstly, the training samples of aviation material unsafe events are used to carry out the PCA feature extraction, and then using the extracted basic features, BP neural network model is established. The numerical example shows that, the hybrid model proposed is better than that of alone BP neural network model, and it is effective and feasible to establish the unsafe events model for aviation material.

A neural network model for the mechanism of feature-extraction

1984 ◽  
Vol 50 (5) ◽  
pp. 377-384 ◽  
Author(s):  
Sei Miyake ◽  
Kunihiko Fukushima
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Network Model ◽  
Neural Network Model
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