基于神经网络的船舶舱室热舒适度研究  

Research on thermal comfort of ship cabins based on neural network

作　　者：刘红敏[1] 王一初 龚志豪 徐斌 LIU Hongmin;WANG Yichu;GONG Zhihao;XU Bin(Merchant Marine College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学商船学院

出　　处：《上海海事大学学报》2020年第1期100-106,共7页Journal of Shanghai Maritime University

基　　金：国家自然科学基金(51406112)

摘　　要：由于恒值空调已经不能满足船舶舱室人员的热舒适要求,运用遗传算法求解热舒适方程,并提出利用遗传算法改进神经网络的船舶舱室热舒适预测模型。仿真结果表明,该模型具有良好的仿真性能,预测准确性高。该模型对提升船舶舱室的环境质量和提高船舶工作人员及乘客的热舒适度起到很大的帮助。Because constant air conditioning can no longer meet the thermal comfort requirements of ship cabin personnel,the genetic algorithm is adopted to solve the thermal comfort equation,and the prediction model of ship cabin thermal comfort is proposed,where the neural network is improved by the genetic algorithm.Simulation results show that,the model is of good simulation performance and high prediction accuracy.It is very helpful to improve the environmental quality of ship cabins and the thermal comfort of ship crew and passengers.

关 键 词：船舶热舒适 遗传算法 神经网络 模型预测 MATLAB 

分 类 号：U663.8[交通运输工程—船舶及航道工程] TU831.3[交通运输工程—船舶与海洋工程]