Development of A Prediction Model of Effective Factors in Military Training Courses Using Artificial Neural Network Algorithm

Predicting the results of the current quality improvement activities is one of the concerns of the officers of the armed forces officer universities. Taking advantage of the capabilities of the artificial neural network and taking into account the aforementioned concern, the present research has presented a model to predict the process of the results of the effective factors in the military educational activities of one of the officers' universities.

The statistical population is all the young officers under training in the combat camp in Kohestan University under study (from 2018 to 2022). In the first step, the data related to the factors and parameters of the training-educational activities of the military camp in the mountains were collected for the mentioned five-year time period. In the next step, pre-processing of the data was done and using the proposed IRNN algorithm and its coding in Python, the appropriate model was built and its validation was done.

By using the built model and the available data, it was predicted the quality of the training performance of the combat camp.

Originality: 

The results showed that with the continuation of the current policies, all the factors will have an upward trend except for the factor of "updating the level of knowledge and skills of the teaching staff". Therefore, proper planning should be done in order to update the level of knowledge and skills of the educational staff of specialized educational activities