由于粮库温度是非线性的时间序列,文章提出了基于RBF神经网络的粮库温度预测模型。该模型优于传统的粮库温度分析方法,又避免了BP算法容易陷入局部极小点和收敛速度慢的缺点。根据实验的仿真结果显示,
RBF+neural+network 技术资料
汇集 RBF+neural+network 相关的电路原理图、PCB工程文件、单片机/FPGA源代码、数据手册与应用设计方案。
通过在我厂蒸馏装置上软仪表的具体使用情况,简单介绍了基于RBF 神经网络的软仪表的开发,RBF 神经网络的特点、在建模中的应用及RBF 神经网络改进后的模型应用。开发软仪表的目的,及在实际使用中对现场
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