CN108259498B - 一种基于人工蜂群优化的bp算法的入侵检测方法及其系统 - Google Patents
一种基于人工蜂群优化的bp算法的入侵检测方法及其系统 Download PDFInfo
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Families Citing this family (8)
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CN109120630B (zh) * | 2018-09-03 | 2022-08-02 | 上海海事大学 | 一种基于优化BP神经网络的SDN网络DDoS攻击检测方法 |
CN109615615A (zh) * | 2018-11-26 | 2019-04-12 | 北京联合大学 | 一种基于abc—bp神经网络的裂缝识别方法及系统 |
CN109800954B (zh) * | 2018-12-19 | 2021-08-20 | 中国石油化工股份有限公司 | 基于测井数据的储层评价方法 |
CN109617888B (zh) * | 2018-12-24 | 2021-05-07 | 湖北大学 | 一种基于神经网络的异常流量检测方法及系统 |
CN109919229A (zh) * | 2019-03-08 | 2019-06-21 | 杭州麦乐克科技股份有限公司 | 基于人工蜂群和神经网络的监测有害气体预测方法及系统 |
CN109946424A (zh) * | 2019-03-08 | 2019-06-28 | 杭州麦乐克科技股份有限公司 | 基于人工蜂群和神经网络的气体标定分类方法及系统 |
CN110009696A (zh) * | 2019-04-10 | 2019-07-12 | 哈尔滨理工大学 | 基于蜂群算法优化bp神经网络三目视觉标定 |
CN112668688B (zh) * | 2020-12-30 | 2022-09-02 | 江西理工大学 | 一种入侵检测方法、系统、设备及可读存储介质 |
Citations (3)
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TWI540533B (zh) * | 2015-03-18 | 2016-07-01 | 聖約翰科技大學 | 智慧型短期電力發電量預測方法 |
CN107292166A (zh) * | 2017-05-18 | 2017-10-24 | 广东工业大学 | 一种基于cfa算法和bp神经网络的入侵检测方法 |
CN107465664A (zh) * | 2017-07-07 | 2017-12-12 | 桂林电子科技大学 | 基于并行多人工蜂群算法和支持向量机的入侵检测方法 |
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TWI540533B (zh) * | 2015-03-18 | 2016-07-01 | 聖約翰科技大學 | 智慧型短期電力發電量預測方法 |
CN107292166A (zh) * | 2017-05-18 | 2017-10-24 | 广东工业大学 | 一种基于cfa算法和bp神经网络的入侵检测方法 |
CN107465664A (zh) * | 2017-07-07 | 2017-12-12 | 桂林电子科技大学 | 基于并行多人工蜂群算法和支持向量机的入侵检测方法 |
Non-Patent Citations (2)
Title |
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《人工蜂群优化的BP神经网络在入侵检测中的应用》;沈夏炯;《计算机工程》;20160229;全文 * |
《基于BP神经网络的云计算入侵检测技术研究》;刘伉伉;《计算机与数学工程》;20141231;全文 * |
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