An Enhanced Quadratic Angular Feature Extraction Model for Arabic Handwritten Literal Amount Recognition

2017 ◽  
pp. 369-377
Author(s):  
Qais Al-Nuzaili ◽  
Ali Hamdi ◽  
Siti Z. Mohd Hashim ◽  
Faisal Saeed ◽  
Mohammed Sayim Khalil
Keyword(s):  
Feature Extraction ◽  
Extraction Model

scholarly journals On Orthogonal Feature Extraction model with applications in medical prognosis

2016 ◽  
Vol 40 (19-20) ◽  
pp. 8766-8776 ◽  
Author(s):  
Hao Jiang ◽  
Wai-Ki Ching ◽  
Wenpin Hou
Keyword(s):  
Feature Extraction ◽  
Extraction Model

Block-based feature extraction model for early fire detection

2017 ◽  
Author(s):  
Kuang-Pen Chou ◽  
Mukesh Prasad ◽  
Deepak Gupta ◽  
Sharmi Sankar ◽  
Ting-Wei Xu ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Fire Detection ◽  
Block Based ◽  
Extraction Model ◽  
Early Fire Detection

scholarly journals Extracting Opinion Targets from Product Reviews using Comprehensive Feature Extraction Model in Opinion Mining

2017 ◽  
Vol 10 (21) ◽  
pp. 1-10 ◽  
Author(s):  
K. C. Ravi Kumar ◽  
D. Teja Santosh ◽  
B. Vishnu Vardhan ◽  
◽  
◽  
...  
Keyword(s):  
Feature Extraction ◽  
Opinion Mining ◽  
Product Reviews ◽  
Extraction Model

Feature Extraction Model in Systems of Face Images for Person Identification

2019 ◽  
Author(s):  
Shavkat Fazilov ◽  
Nomaz Mirzaev ◽  
Olimjon Mirzaev ◽  
Gulmira Mirzaeva ◽  
Sayyora Ibragimova ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Person Identification ◽  
Face Images ◽  
Extraction Model

Genetic Algorithms Study in Switch Electrical Appliances Electric Arc Feature Extraction

2013 ◽  
Vol 365-366 ◽  
pp. 165-169
Author(s):  
Jing Sheng Yu ◽  
Li Li ◽  
Ting Liu
Keyword(s):  
Genetic Algorithm ◽  
Feature Extraction ◽  
Optimal Solution ◽  
Electric Arc ◽  
Network Computing ◽  
Electrical Arc ◽  
Pool Formation ◽  
Extraction Model ◽  
Crossover And Mutation

The genetic algorithm applied to switch electrical appliances electric arc feature extraction, based on genetic algorithm, the switch electrical arc feature extraction model was established. The initial pool formation, evaluation individual, reproduction, crossover and mutation have done a detailed representation. This model can eliminate the slow convergence and so easy to fall into the local minimum shortcomings of BP neural network computing graphics weights. The experiment showed that genetic algorithm can better converge to the global optimal solution, more in line with the arc Feature Extraction fact, and more effectively improving the quality of graphics extraction.

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