以室内空气环境参数设计值与标准值的均方根误差 (适应度 )为基础 ,建立了三个优化目标 ,即 :使室内指定区域空气环境参数适应度达到最小、室内空气环境参数适应度满足要求的区域达到最大、室内分区域空气环境参数适应度达到最小。应用CFD技术 ,结合进化神经算法 ,建立考虑多因素影响的、实现上述优化目标的室内空气环境设计方案预测、分析和评价的计算机方法 Based on the root-mean-square error (fitness) of design values ​​and standard values ​​of indoor air environment, three optimization objectives were set up, that is, to minimize the degree of fitness of the air environment parameters in the designated area of ​​the indoor environment and to meet the fitness of indoor air environment parameters The required area reaches the maximum, indoor sub-regional air environment parameters to a minimum. Apply CFD technology and evolutionary neural algorithm to establish a computer method that predicts, analyzes and evaluates the indoor air environment design plan considering the influence of many factors and achieving the above optimization goals