那种建模的方法是怎么进化来的？很显然的，这里有很强的数学研究背景，但是怎么把它转化成一种实用的东西呢？
How did that approach to modeling evolve? Obviously, there's this strong mathematical research background. But what's the process like of translating that theory into something that's usable?
这些不完整的需求需要灵活的建模过程和适合于进化开发的技术。
These incomplete requirements call for a flexible modeling process and for techniques which are appropriate for evolutionary development.
复杂系统中存在着大量的过程依赖、自组织，并且一直是进化的，用传统的方法对其建模十分困难。
There is a number of process relying, self organization and evolution in the complex system, so the traditional modeling method is difficult.
考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
但是，目前的用户建模技术普遍存在模型表示缺乏语义、兴趣获取困难和模型难以进化等缺点。
At present, user modeling has some shortcomings such as lack of semantic in user model representation, difficulty in user interest acquisition and user model evolution.
新的基于进化学习的算法不但具有更好的全局收敛能力，同时依然能继承视觉模糊建模方法的原有优点。
The proposed new method not only has the better global learning abilities but also can inherit the virtues of the original visual TSK fuzzy system modeling method.
计算动词理论的提出解决了这一问题，它运用进化函数对人类思维中的动态部分进行建模。
The Computational verb theory, which USES evolution functions to model the dynamic facets of human thinking, has solved the problem of modeling dynamics in natural languages.
计算动词理论的提出解决了这一问题，它运用进化函数对人类思维中的动态部分进行建模。
The Computational verb theory, which USES evolution functions to model the dynamic facets of human thinking, has solved the problem of modeling dynamics in natural languages.
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