Research of Human Machine Identification for Sliding Verification Code Based on Neural Network
In the process of sliding verification,it is very important to distinguish whether the drill author is “machine”or“personal”.In this paper,we use the neural network algorithm and MATLAB software to make an empirical study and analysis on the characteristics of the sliding trajectory extraction left by human and machine,and establish the classification model of the neural network to predict the operator.The results show that the BP neural network model has high prediction accuracy and provides a guarantee for network security to some extent.
Simple Proof to Three Euler-type Combinatorial Identities
In this paper we present some simple proofs to three combinatorial identities of double zeta values.
The Analysis of Teachers’Transformation in Applied Universities Based on the Incentive Theory