The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
And then carry on deep research to Multi-source Spatial Data Translation model in semantic level and explain in detail to the definition, principle, organization of the model.
进而对基于语义异构空间数据转换模型进行了深入地研究，从模型的定义、原理、组织构成进行了详细地阐述。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
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