BPNN和SVM模型在欺诈信息智能识别中的应用

BPNN and SVM Models and Application in Intelligent Identification of Fraudulent Information

BP神经网络和支持向量机作为人工智能化较为成熟的方法,应用领域广泛。为有效提高诈骗电话的识别率,针对网络安全意识薄弱、易被网络欺诈信息欺骗的部分大学生等易受骗人群,应用BP神经网络技术对统计的诈骗电话进行研究分析,并利用SVM算法实现目标函数的优化方法。利用该模型对已统计的诈骗电话号码样本进行分析,取得了较好的预测效果。

As a mature method of artificial intelligence,BP neural network and support vector machine are widely used.In order to effectively improve the recognition rate of fraudulent telephone,aiming at the fraudulent crowd such as some college students who are weak in network security consciousness and easily deceived by network fraudulent information,this paper applies BP neural network technology to study and analyze the statistical fraudulent telephone,and uses SVM algorithm to realize the optimization method of objective function.The model is used to analyze the sample of fraudulent telephone numbers,and good prediction results are obtained.