Genetic Programming for Letters Identification Based on Neural Network
2015 ◽
Vol 734
◽
pp. 642-645
Keyword(s):
According to the problem that the letters identification is not high accuracy using neural networks, in this paper, an optimal neural network structure is designed based on genetic algorithm to optimize the number of hidden layer. The English letters can be identified by optimal neural network. The results obtained in the genetic programming optimizations are very satisfactory. Experiments show that the identification system has higher accuracy and achieved good ideal letters identification effect.
2004 ◽
Vol 28
(3)
◽
pp. 221-225
Keyword(s):
Keyword(s):
2021 ◽
pp. 323-340
Keyword(s):
2015 ◽
Vol 19
(2)
◽
pp. 225-231
◽
Keyword(s):
2013 ◽
Vol 479-480
◽
pp. 445-450
2006 ◽
Vol 05
(01)
◽
pp. 75-87
◽
2017 ◽
Vol 14
(2)
◽
pp. 467-490
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2013 ◽
Vol 9
(4)
◽
pp. 393-401
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