Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm

2021 ◽  
Vol 36 (6) ◽  
pp. 2443-2464
Author(s):  
Grazia Lo Sciuto ◽  
Giacomo Capizzi ◽  
Rafi Shikler ◽  
Christian Napoli
Keyword(s):  
Feature Extraction ◽  
Solar Cells ◽  
Organic Solar Cells ◽  
Pruning Algorithm ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
New Feature ◽  
Defects Classification

scholarly journals A New Feature Extraction Algorithm Based on Entropy Cloud Characteristics of Communication Signals

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jingchao Li ◽  
Jian Guo
Keyword(s):  
Feature Extraction ◽  
Cloud Model ◽  
Recognition Rate ◽  
Signal Recognition ◽  
Communication Signals ◽  
Low Snr ◽  
Feature Extraction Algorithm ◽  
Cloud Characteristics ◽  
Extraction Algorithm ◽  
New Feature

Identifying communication signals under low SNR environment has become more difficult due to the increasingly complex communication environment. Most relevant literatures revolve around signal recognition under stable SNR, but not applicable under time-varying SNR environment. To solve this problem, we propose a new feature extraction method based on entropy cloud characteristics of communication modulation signals. The proposed algorithm extracts the Shannon entropy and index entropy characteristics of the signals first and then effectively combines the entropy theory and cloud model theory together. Compared with traditional feature extraction methods, instability distribution characteristics of the signals’ entropy characteristics can be further extracted from cloud model’s digital characteristics under low SNR environment by the proposed algorithm, which improves the signals’ recognition effects significantly. The results from the numerical simulations show that entropy cloud feature extraction algorithm can achieve better signal recognition effects, and even when the SNR is −11 dB, the signal recognition rate can still reach 100%.

Sign in / Sign up

Export Citation Format

Share Document