Computer Technology and RBF Algorithm English Online Test System Design

With the development of computer technology, it has been gradually applied to different fields and played an irreplaceable role. In the current school education, the information management system is also used for teaching and management. For example, the school uses an advanced online examination system, which improves the intelligence, standardization and process level of the examination. The purpose of this paper is to study the design of the English online test system based on the RBF algorithm. In order to achieve the goal of accuracy, efficiency and convenience in the online test system, the online test system can automatically grade and judge objective and subjective questions, and improve the intelligence and standardization of the test. The purpose is to study the design of the English online test system based on the RBF algorithm. In order to achieve the goal of accuracy, and to realize the automatic scoring and evaluation of objective and subjective questions in the online test system, a computer technology-based RBF algorithm is designed. The new online English test system provides a reliable tool for the improvement of teaching quality. This paper uses the experimental data analysis method, through the experimental data, and the data analysis obtained by tracking the algorithm operation process, to provide data support for the construction of the fitness function in the algorithm, the selection of reasonable parameters for the crossover probability and the mutation probability. The simulation results show that the convergence speed of the adaptive wavelet RBF neural network is 26 steps and 25 steps, respectively, and the relative errors are 2.96% and 2.60%, respectively.