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Flatness Pattern Recognition Based on Modified Seagull Optimization Algorithm and Elman Network
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Guanyan LÜ1, Xuedong TIAN2, Fenhua LI3
Mining and Metallurgical Engineering | 2023, 43(2) : 140 - 144
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Mining and Metallurgical Engineering | 2023, 43(2): 140-144
• MATERIALS •
Flatness Pattern Recognition Based on Modified Seagull Optimization Algorithm and Elman Network
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Guanyan LÜ1, Xuedong TIAN2, Fenhua LI3
Affiliations
  • 1.Department of Information and Engineering, Shanxi Conservancy Technical Institute, Yuncheng 044000, Shanxi, China
  • 2.School of Computer Science and Technology, Hebei University, Baoding 071002, Hebei, China
  • 3.School of Mathematics and Information Technology, Yuncheng University, Yuncheng 044000, Shanxi, China
Published: 2023-04-01 doi: 10.3969/j.issn.0253-6099.2023.02.031
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In order to improve the accuracy of flatness pattern recognition, a flatness pattern recognition method based on modified seagull optimization algorithm (MSOA) and Elman network is proposed. The weight threshold of Elman network is optimized with MSOA and then used for flatness pattern recognition. 20 sets of data are chosen for testing, and the obtained results are compared respectively with the flatness pattern recognition results based on BP neural network and traditional Elman network. It is found that algorithm method proposed in this paper has higher accuracy and better effect, with the mean square error lower than other algorithms by two orders of magnitude.

seagull optimization algorithm (SOA)  /  chaotic map  /  flatness pattern recognition  /  Elman neural network  /  flatness control
Guanyan LÜ, Xuedong TIAN, Fenhua LI. Flatness Pattern Recognition Based on Modified Seagull Optimization Algorithm and Elman Network[J]. Mining and Metallurgical Engineering, 2023 , 43 (2) : 140 -144 . DOI: 10.3969/j.issn.0253-6099.2023.02.031
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Article Info
doi: 10.3969/j.issn.0253-6099.2023.02.031
  • Receive Date：2022-11-21
  • Online Date：2026-03-05
  • Published：2023-04-01
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  • Received：2022-11-21
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Affiliations
    1.Department of Information and Engineering, Shanxi Conservancy Technical Institute, Yuncheng 044000, Shanxi, China
    2.School of Computer Science and Technology, Hebei University, Baoding 071002, Hebei, China
    3.School of Mathematics and Information Technology, Yuncheng University, Yuncheng 044000, Shanxi, China
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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