The research on load prediction model of air - conditioning system based on BP neural network has been done.
对用BP网络进行逐时空调负荷预报的建模方法进行了研究。
A new multi-branch time delay neural network is adopted to conduct prediction research on chaotic time series.
采用新型多重分支时间延迟神经网络进行混沌时间序列预测研究。
Finally, it summarizes the whole research on temperature prediction based on artificial neural network applied in high-pressure airtight detection.
最后，对基于人工神经网络的温度预测在高压气密性检测中的应用研究进行了总结。
应用推荐