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author:

陈翀 (陈翀.) [1] | 赵超 (赵超.) [2]

Indexed by:

CQVIP

Abstract:

为了降低埋地管道腐蚀影响因素之间的复杂相关性,提高腐蚀预测精度,文中提出一种基于自适应免疫遗传算法-加权最小二乘支持向量机(AIGA-WLSSVM)的埋地管道腐蚀速率预测建模方法,并采用AIGA优化模型参数,进一步提高模型的学习能力和稳定性。最后通过实例分析验证了AIGA-WLSSVM建模方法在埋地管道腐蚀速率预测中的可行性和有效性,为埋地管道的检修与更换提供参考。

Keyword:

加权最小二乘支持向量机 埋地管道 腐蚀速率 自适应免疫遗传算法 预测

Community:

  • [ 1 ] 福州大学石油化工学院,福建福州350108

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Source :

管道技术与设备

ISSN: 1004-9614

Year: 2017

Issue: 3

Volume: 0

Page: 34-38

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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