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提出一个二次自适应调整学习参数的改进型BP算法入侵检测方法,解决传统的BP算法的收敛速度慢、精度不高等缺陷。该方法较为圆满地解决入侵检测系统所需要的实时性、适应性、可用性、可靠性和准确性等方面的要求,为入侵检测提供一个新的研究手段与方法。
This paper proposes an improved intrusion detection method based on BP learning parameters adaptively, which solves the defects of traditional BP algorithm such as slow convergence rate and low accuracy. This method solves the requirements of real-time, adaptability, usability, reliability and accuracy required by intrusion detection system satisfactorily and provides a new research method and method for intrusion detection.