Research on the stiffness of Grillage Method in Virtual Cross Beam based on Fuzzy recognition

A new fuzzy recognition method of machine-printed invoice number based on neural network is presented. This method includes ten links: invoice number detection and separation of right on top of invoice, binarization, denoising, incline correction, extraction of invoice code numerals, window scaling, location standardization, thinning, extraction of numeral feature and fuzzy recognition based on BP neural network. Through testing, the recognition rate of this method can be over 99%.The recognition time of characters for character is less than 1 second, which means that the method is of more effective recognition ability and can better satisfy the real system requirements.

Download Full-text

Fuzzy recognition of graphite morphology in nodular cast iron based on evolution strategy

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527811 ◽

2005 ◽

Cited By ~ 2

Author(s):

Chen Zhibin ◽

Yu Yongquan ◽

Chen Heqing ◽

Yang Shaomin

Keyword(s):

Cast Iron ◽

Nodular Cast Iron ◽

Evolution Strategy ◽

Graphite Morphology ◽

Iron Based ◽

Fuzzy Recognition

Download Full-text

Genetic optimization of type-1, interval and intuitionistic fuzzy recognition systems

Notes on Intuitionistic Fuzzy Sets ◽

10.7546/nifs.2018.24.2.106-128 ◽

2018 ◽

Vol 24 (2) ◽

pp. 106-128 ◽

Cited By ~ 1

Author(s):

Patricia Melin ◽

Keyword(s):

Genetic Optimization ◽

Intuitionistic Fuzzy ◽

Recognition Systems ◽

Fuzzy Recognition

Download Full-text

A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition-primed decision model

International Journal of Intelligent Systems ◽

10.1002/int.20230 ◽

2007 ◽

Vol 22 (8) ◽

pp. 827-845 ◽

Cited By ~ 12

Author(s):

Yanqing Ji ◽

Hao Ying ◽

John Yen ◽

Shizhuo Zhu ◽

Daniel C. Barth-Jones ◽

...

Keyword(s):

Adverse Drug Reaction ◽

Drug Reaction ◽

Intelligent Agents ◽

Decision Model ◽

Detection System ◽

Fuzzy Recognition

Download Full-text

The Recognition of Handwritten Digital Based on BP Neural Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.416-417.1239 ◽

2013 ◽

Vol 416-417 ◽

pp. 1239-1243

Author(s):

Shan Gao

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Recognition Rate ◽

Practical Significance ◽

Test Results ◽

Recognition Method ◽

Number Recognition ◽

Recognition Ability ◽

Fuzzy Recognition ◽

Zip Code

The article put forward to new recognition method of handwritten digital based on BP neural network. Its recognition process mainly includes ten aspect: incline correction of handwritten number, edge detection and separation of a set number, binarization, denoising, extraction of numerals, window scaling, location standardization, thinning, extraction of numeral feature and fuzzy recognition based on BP neural network. The test results show that the recognition rate of this method can be over 92 percent. The recognition time of characters for character is less than 1.1 second, which means that the method is more effective recognition ability and can better satisfy the real system requirements.It should be widely applied practical significance for Book Number Recognition, zip code recognition sorting.

Download Full-text