Video Games' Educational Evaluation Model Based on BP Neural Network

摘要

evaluating the education value of video games is a complex task. Based on the educational evaluation system for video games, we establish a corresponding automated evaluation model using the Back-propagation (BP) neural network technology. After training with the expert knowledge, the model not only has the experience of experts, but also has the computational capacity to evaluate new cases.