基于MATLAB的RBF神经网络在照明计算中的应用

MATLAB-based RBF Neural Network and Its Application in Lighting Calculation

针对传统建筑照度计算过程冗杂、繁琐、准确率不高的特点,提出了通过建立RBF神经网络应用模型,在MATLAB环境下进行计算、仿真的新方法。与常规的照度计算方法相比,该应用方法不但能够充分降低人工劳动强度,而且极大的提高了照明设计中的计算精度和效率,为建筑照明设计中优化照明方案提供理论的依据。

This paper targets for solving the disadvantages of the lengthy, complicated and low accuracy of the traditional architectural illumination calculation process. It proposes a new method that performs the calculation and simulation in the MATLAB through the model of RBF Neural network application. Compared with the conventional methods of illuminance calculation, this method not only fully reduces labor intensity, but also greatly improves the lighting design calculation accuracy and efficiency. It provides theoretical basis for the optimal lighting in architectural lighting design.