Artificial intelligence with fuzzy logic system for learning management evaluation in higher educational systems

Abstract

In this paper, the mathematical model and algorithm based on knowledge forgetting curve are studied. Through the analysis of the current mathematical modeling and application of “knowledge forgetting curve”, the artificial intelligence method of fuzzy mathematics knowledge and differential modeling is adopted. This paper puts forward the mathematical model and algorithm design of the new “knowledge forgetting curve”, which aims to improve the intelligence of the software and bring a new learning experience for the teaching evaluation of the education system in colleges and universities. The fuzzy logic theory is applied to the teaching evaluation system of higher learning pedagogy, according to pedagogy and other related theories, combined with the current teaching evaluation indicators of colleges and universities, the teaching evaluation indicators of higher learning education are set according to certain requirements. The sample wood data is divided into two parts by using the fuzzy logic principle, and the training model is obtained by training the sample data in the evaluation system, and the training model is used to intelligently evaluate and analyze the prediction data.

Design of Vocal Music Teaching System Platform for Music Majors Based on Artificial Intelligence

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Application of artificial intelligence algorithm in mathematical modelling and solving

“…D i j indicates a shipping cost of a ship in the route, which contains fixed expenditure costs and changes costs. The above function is used as the mathematical model planning of the ship route route, and the corresponding solving algorithm is obtained to obtain the optimal solution of the route plan [8].…”

Big Data Enables Intelligent Management of College Education

“…Literature [11] built an intelligent teaching evaluation system for colleges and universities based on the artificial intelligence method combining fuzzy mathematics and differential modeling, which applies the fuzzy logic theory to the evaluation of teaching indexes, and combines the weights of the actual teaching management indexes of colleges and universities to achieve accurate evaluation. Literature [12] believes that in the context of big data, education management should follow the trend of the times, optimize and adjust education management, through big data technology, and mining student management data, to achieve intelligent management of college education.…”