基于FNN的智能学生综合素质评估模型研究

对学生综合素质评估体系相关要素进行了讨论，给出了学生综合素质评估体系闭环控制系统结构。提出了一种基于模糊神经网络的智能学生综合素质评估体系模型，该模型通过模糊神经网络的自适应与自学习能力，对系统中非量化因素指标的量化进行了有效的刻画，并采用遗传算法对网络结构与量化指标权重进行了优化。仿真结果证明了提出的模型不仅准确有效，而且收敛速度快。

Intelligent Model of Student Diathesis Evaluation System Based on FNN

The closed-loop control structure of student diathesis evaluation system is presented,while discussing the relative elements in student diathesis evaluation system.An intelligent model is proposed for student diathesis evaluation system based on fuzzy neural network(FNN).The proposed model is effective to simulate nonquantitive index in the system with the adaptive and self-learning capability of FNN.Genetic algorithm is also employed to improve the constringency and optimize the structure of network and index weight.Simulation results prove that the proposed model is not only effective,but also converged quickly.