摘要
室内温度与诸多影响因素之间的非线性、复杂性等关系 ,给建模、预测带来了难度 ,引入了人工神经网络 ;利用人工神经网络的非线性、并行计算和自学习特性进行建模 。
The artificial neural networks is adhibited in view of the relations of nonlinear and complexity between indoor temperature and its impacted factors,which brings about difficulties of modeling and prediction.With the characteristics of nonlinear,parallel calculation and selfteaching of artificial neural networks,the temperature imitation is successfully achieved.
出处
《工业安全与环保》
2002年第2期29-31,共3页
Industrial Safety and Environmental Protection
