发酵过程混合神经网络建模方法比较

COMPARATIVE STUDY OF THE HYBRID NEURAL NETWORK MODELING APPROACH TO FERMENTATION RPOCESSES

对发酵过程中串联结构、并联结构、串并联结构混合神经网络模型的结构和训练方法进行了分析、对比研究 ,并提出了一种训练方式更简单的混合神经网络模型 仿真结果表明 ,混合神经网络模型比标准的神经网络模型建模精度高。

In this paper, we analyze and compare the structures and training methods of serial approach?parallel approach and serial parallel approach hybrid neural network models in the fermentation processes. Based on these, we present a new hybrid neural network model with an convenient training way. The results of emulation show that the hybrid neural network models have higher accuracy and stronger generalization capabilities than the standard neural network model.