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针对现有的多媒体课件质量评价指标体系,应用人工神经元网络理论,探讨和建立了在多媒体课件综合评价指标体系中起重要作用的指标权重的BP算法模型及其设计思想和实现方法。实验结果表明评价模型较好地避免了传统方法人为计取权值和相关系数过程中的主观影响和不确定性,为定性与定量相结合地多媒体课件综合评价提供了客观依据,同时也为多媒体课件质量评价开辟了新的方法。
Aiming at the existing index system of multimedia courseware quality evaluation, the artificial neural network theory is applied to explore and establish the BP algorithm model which plays an important role in the comprehensive evaluation index system of multimedia courseware and its design and implementation methods. The experimental results show that the evaluation model can avoid the subjective influence and uncertainty in the traditional method of calculating the weight and the correlation coefficient, and provide an objective basis for the comprehensive evaluation of multimedia courseware combined qualitatively and quantitatively. Meanwhile, Courseware quality evaluation opened up new ways.