【摘要】 导光管照明计算是一个十分复杂的问题 ,国内外已有的导光管照明计算多建立在几何光学的基础上。人工神经网络具有很强的自学习性、自适应性和容错能力 ,作者将其引入到导光管的照明计算 ,通过对实物模型的照度等数据的测量 ,将获得的数据作为学习样本 ,用人工神经网络进行导光管的照明计算。这样就避免了复杂的光线传播过程的分析 ,而且无须任何假设 ,使计算过程方便快捷。更多还原

【Abstract】 The lighting calculation of light guide is a complex problem, which is always based upon the geometric optics. Artificial Neural Network(ANN) is a promising intelligent signal process systems, as it can self\|adapt, self\|organize and self\|study. When ANN is used in light guide lighting design, the ray tracing and assumption are not in demand. After learning the study models from experiment, ANN can provide the value we need, and the process is fast and convenient.\;更多还原