Abstract
An example of an artificial neural network intended for use in the educational process (in such disciplines as “The socio-political importance of artificial intelligence systems”, “History and philosophy of science”, etc.) is presented. The neural network provides automatic processing of critical reviews written by students for pseudoscientific works, presented in abundance in the current periodical press. This makes it possible to transfer such an innovative form of study as the writing of critical reviews by students to the distance learning mode. An additional function of this neural network is testing of students in order to identify individuals with a psychological type that is appropriate to the scientist in the true meaning of the word.
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Notes
- 1.
Cross-entropy is one of many possible loss functions (another is the loss of the SVM loop). These loss functions are usually written as J (theta) and can be used in gradient descent, which is an iterative basis for moving parameters (or coefficients) to optimal values.
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Ibragim, S., Akhat, B., Dinara, M., Anastasiya, G., Mariya, K., Grigoriy, M. (2020). Example of the Use of Artificial Neural Network in the Educational Process. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-39445-5_31
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