sub-model method 子模型法
Focus on the question of many sub models in traditional SMM, a SMM adaptive control based on online optimization method of model set is proposed.
针对多模型方法中子模型数量过多的问题，提出一种基于模型集在线优化方案的多模型自适应控制算法，并对其实时性进行讨论。
The master problem of the model corresponds to the basic scheduling strategy and the sub problem corresponds to on-line adjusting method.
策略由基本调度策略和在线调整两部分组成，分别与模型的主问题和子问题相对应。
In the new method, input samples are divided into sub-space and hybrid expert neural networks model is realized.
采取运行机理建模和神经网络建模相结合的方式，把输入样本空间进行划分，实现基于混合专家网络的建模。
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