绿色铁路客站室内环境质量评价方法的研究

摘要

运用混合遗传算法与BP神经网络相结合的方式,可有效地弱化打分法中人为因素的影响,与GA-BP相比还具有增大最优值搜索范围,收敛速度快,效率高等优点.最后通过验证评价武汉站室内环境质量,得出该模型切实可行.%The combination of hybrid genetic algorithm and BP neural network can effectively weaken the influence of human factors in scoring method. Compared with GA-BP, it also has the advantages of increasing the searching range of optimal value, quick convergence and high efficiency. Finally, through the verification and evaluation of Wuhan station indoor environmental quality, it come to the feasibility of the model.