暖通设计用室外气象参数的神经网络构成

Study on Outdoor Temperature Parameters Structured by Neural Network Arithmetic for HVAC Design

介绍了现行暖通空调设计中室外气象参数存在的问题;在分析影响室外计算温度参数各主要因素的基础上,提出利用神经网络算法生成室外气象模型的思路,从而克服了经典数学在该问题中的不足,为不可知气象条件下的暖通设计提供了依据,具有一定的应用价值。

Introduces the shortage of criterion's outdoor weather data for HV AC design. Based on the important parameters which affected the outdoor calculated temperature data, puts forword the method that structures the outdoor weather model by neural network arithmetic. The method conqueres the shortage of sutra-mathematics, provides means for HVAC design when the weather data doesn't know and has applied value.