Accurate Identification Of Poor College Students Based On Deep Neural Network

National targeted poverty alleviation policy puts forward new requirements for college students' financial aid.Targeted poverty alleviation has gradually become the core task of educational poverty alleviation.Thus,it is a good idea to realize targeted poverty alleviation in colleges and universities with the help of artificial intelligence,whose application needs a great amount of data.At present,the continuous construction and development of smart campus provide conditions for it.As a part of smart campus,the all-in-one card records much data,including the consumption,study and life of students on campus,as well as that generated by students in the process of surfing the Internet and using various management systems,which has great research value for more effective identification of poor students.This paper analyzes the problems existing in the identification and classification of traditional poverty-stricken students,and builds a new model for the precise identification of poverty-stricken students in colleges and universities based on current research results of precise funding and the technology of deep learning.In the process of model research,the author analyzes and processes the student information of a certain university,and then builds a sample database,using the deep learning method to design and realize the construction of the student financial aid evaluation system finally.Compared with the traditional algorithm,the accuracy and speed are greatly improved.On the one hand,the purpose of this paper is to precisely identify poor students,realizing precise poverty classification,in order to give corresponding financial aid,and finally achieve implicit and precise targeted poverty alleviation for poor students.On the other hand,artificial intelligence and other advanced technologies are employed to replace traditional manual data analysis methods,which simplify the procedures of poverty funding,and therefore improve the efficiency and accuracy of funding,providing guarantee for the precise funding of poor students.