为了验证本算法的改进之处，本文还对传统神经网络和改进神经网络的诊断结果做了对比。

In order to verify the improvements of this algorithm, it shows contrast of the traditional neural network diagnostic results and improved neural network diagnostic results.

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针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。

Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.

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实验表明，智能神经网络系统原理为克服传统神经网络收敛速度慢的缺点，同时不增加网络负担提供了一种有效方案。

The experiment shows that INNS provides a way to accelerate the astringent speed by constructing a complicate intelligent neural network based on simple networks and by adding some rules.

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