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Application of PSO-SVM in Water Resources Carrying Capacity Evaluation of Heilongjiang Province
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Tao WANGa, b, Zhi-jun LIa, b
Water Resources and Power | 2023, 41(1) : 30 - 33
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Water Resources and Power | 2023, 41(1): 30-33
HYDROLOGY, WATER RESOURCES AND ENVIRONMENT
Application of PSO-SVM in Water Resources Carrying Capacity Evaluation of Heilongjiang Province
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Tao WANGa, b, Zhi-jun LIa, b
Affiliations
  • a.College of Water Resources and Electric Engineering, Heilongjiang University, Harbin 150080, China
  • b.Cold Groundwater Research Institute, Heilongjiang University, Harbin 150080, China
Published: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20220748
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Aiming at the problem that the evaluation and prediction of water resources carrying capacity involves multi-factor comprehensive indicators, particle swarm optimization algorithm was used to optimize the training parameter penalty factor C and kernel parameter σ in the support vector machine model, and a water resources carrying capacity prediction model was established based on PSO-SVM. According to the index grade standard, the training set data was constructed to evaluate the water resources carrying capacity of Heilongjiang Province in 2017. The results show that the water resources carrying capacity index of Heilongjiang Province in 2017 is between 0.423 4 and 0.709 2. The water resources carrying capacity in some areas is at level II, the carrying capacity is weak, and there is still much room for improvement.

water resources carrying capacity  /  support vector machine  /  particle swarm optimization algorithm  /  Heilongjiang Province
Tao WANG, Zhi-jun LI. Application of PSO-SVM in Water Resources Carrying Capacity Evaluation of Heilongjiang Province[J]. Water Resources and Power, 2023 , 41 (1) : 30 -33 . DOI: 10.20040/j.cnki.1000-7709.2023.20220748
Year 2023 volume 41 Issue 1
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220748
  • Receive Date:2022-03-15
  • Online Date:2026-01-28
  • Published:2023-01-25
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  • Received:2022-03-15
  • Revised:2022-05-03
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Affiliations
    a.College of Water Resources and Electric Engineering, Heilongjiang University, Harbin 150080, China
    b.Cold Groundwater Research Institute, Heilongjiang University, Harbin 150080, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
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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