Method for evaluating poor students in colleges and universities
A technology for poor students and colleges and universities, applied in biological neural network models, instruments, data processing applications, etc., can solve the problems of lack of scientific guidance, obtain low cost-effective methods, and determine the consistency of over-fitting matrices, so as to avoid over-fitting Ideal fit and accuracy
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[0015] The technical solution of the present invention is further described below, but the scope of protection is not limited to the description.
[0016] The invention provides a method for assessing impoverished students in colleges and universities, comprising the following steps:
[0017] ① Acquisition parameters: Obtain the measurement values of ten indicators in the college student data that have been evaluated and recorded in the system. The ten indicators are the average monthly household income FI, the per capita monthly income and expenditure ratio FIOR, and the ratio of labor force members to family members FMR , special family type FT, family member health status FH, source of tuition ST, source of living expenses SC, average daily food consumption SE, class democratic assessment SS and failure status SCS;
[0018] ②Model discrimination: Input the acquired ten indicators into the neural network model for calculation. The neural network model has three layers, and...
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