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遗传策略粒子群优化的粗糙集神经网络在崩塌落石灾害风险评估中的应用 被引量:1

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摘要 本文提出一种运用遗传策略粒子群优化的粗糙集神经网络的崩塌落石风险评估智能方法。首先利用基于邻域粗糙集模型的属性约简方法对样本数据进行属性约简,然后采用遗传策略对粒子群优化算法进行改良,用该改良后的优化方法替代传统BP算法来训练神经网络的权值和阈值,再用训练好的神经网络对崩塌落石风险进行评估。仿真结果表明:该方法降低了神经网络结构的复杂性,减少了网络训练时间,提高了预测精度。
出处 《公路交通科技(应用技术版)》 CAS CSCD 2010年第10期106-109,共4页
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  • 1李松仁,陈松乔,黄平.硫化铅锌矿石可选性预测专家系统的研究[J].有色金属,1995,47(2):19-24. 被引量:6
  • 2罗新星,李松仁,高阳.浮选厂自学习咨询控制专家系统知识库设计[J].中南工业大学学报,1996,27(5):532-537. 被引量:5
  • 3姜广大.-[J].国外金属矿选矿,1983,.
  • 4Nguyen S.H., Nguyen H.S.. Some efficient algorithms for rough set methods. In: Proceedings of the Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems, Granada, Spain, 1996, 1451~1456.
  • 5Susmaga R.. Analyzing discretizations of continuous attributes given a monotonic discrimination function. Intelligent Data Analysis, 1997, 1(4): 157~179.
  • 6Dai Jian-Hua, Li Yuan-Xiang. Study on discretization based on rough set theory. In: Proceedings of the first International Conference on Machine Learning and Cybernetics, Beijing, 2002, 1371~1373.
  • 7Chen Cai-Yun, Li Zhi-Guo, Qiao Sheng-Yong, Wen Shuo-Pin. Study on discretization in rough set based on genetic algorithm. In: Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi′an, 2003, 1430~1434.
  • 8Huang Jin-Jie, Li Shi-Yong. A GA-based approach to rough data model. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, Hangzhou. 2004, 1880~1884.
  • 9Roy A., Pal S.K.. Fuzzy discretization of feature space for a rough set classier. Pattern Recognition Letters, 2003, 24(6): 895~902.
  • 10Wang Li-Hong, Zhang Shu-Cui, Fan Hui, Wu Geng-Feng. The information granulation in discretization. In: Proceedings of the Second International Conference on Machine Learning and Cybernedcs, Xi′an, 2003, 2620~2623.

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