与传统的数学建模不同，本文利用了神经网络建模。
Compares with the traditional mathematics model, this article has used the neural network modeling.
提出一种基于系统结构的拟神经网络建模与优化原理及拓扑结构。
A novel principium and topology of modeling and optimizing is introduced, which employs like-neural networks based on system architecture.
提出了一种新的混合神经网络建模方法——结构逼近式混合神经网络。
A new hybrid neural networks modeling approach, named structure approaching hybrid neural network (SAHNN) is presented in this paper.
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