构造规则

The ambiguousness of domain expert knowledge is taken into account, and fuzzy mathematics is applied to describe qualitative knowledge and to construct fuzzy rule.

在知识表示模式的基础上，考虑工艺知识的模糊性，本文应用模糊技术描述工艺领域中的定性知识，构造了模糊规则。

The objective is to use SA as a tool to develop an accurate fuzzy classifier, effectively explore and exploit the large search space usually associated with classification problems, and find the optimum set of fuzzy if then rules.

论述了使用模拟退火元启发式搜索策略构造模糊分类系统的过程，目的是利用模拟退火原理研制一种精确的模糊分类器，改善与分类问题有关的搜索空间探索与发掘的性能，找到模糊if-then规则的优化集。

To get the low dimensional data with regular structure,the measure of the regularity is constructed and then the dimension reduction is brought forward.

为了寻求具有规则拓扑结构的低维数据集，构造了数据结构规则性的度量，提出了保持数据集拓扑结构不变的降维方法。

Syntactical completeness is only concerned with syntactics. The classical proposition logic systems with the rule of substitution are syntactical complete, while the ones without the rule are not.

语法完全性仅与一个形式系统的语法构造相关，经典命题逻辑的有代入规则的系统是语法完全的，无代入规则的系统不是语法完全的。

Syntactical completeness is only concerned with syntactics. The classical preposition logic systems with the rule of substitution are syntactically complete, while the ones without the rule are not.

语法完全性仅与一个形式系统的语法构造相关，经典命题逻辑的有代入规则的系统是语法完全的，无代入规则的系统不是语法完全的。

Because there exists a high randomness an easier weighted method is used to establish Grid-format data to approximately describe 3-D space topography, 3-D topography is constructed for Grid-format data by using OpenGL technology, and a free transform of the space curved surface is realized, including parallel move, zoom, circumgyrate. Simultaneously, an algorithm of random incision of 3-D space curved surface containing most six sides is provided, in comhination of geologic evolution, element.

由于存在很大的随机性，采用较为简单的加权方法来建立规则网格Grid格式数据体对三维空间地形进行近似描述，利用OpenGL技术构造Grid数据体三维地形，并对构造出的三维空间曲面进行平移、缩放、旋转等自由变换，提供最多6个切面对三维空间曲面进行任意切割的算法，结合地质演化需要，利用双缓存技术实现了地质要素三维曲面动态演化过程。

Suppose the set of source states S is a cogredient normal form of all the n×n non-alternation matrices over F, the set of encoding rules E and decoding rules E are all of the n×n nonsingular matrices over F, and the set of messages M is all of the n×n singular non-alternation matrices over F. Construct the maps where K=.

令信源集S为F上所有的n×n非交错矩阵的合同标准型，编码规则集E和解码规则集E为F上所有的n×n非奇异矩阵，信息集为F上所有的n×n奇异的非交错矩阵，构造映射其中K=。

The algorithm directly imports the core into each solution constructed by ants and reduces the problem scale. The new state transition rule and pheromone updating rule reflects the orderless characteristic among attributes, and benefits the search in the neighborhood of good solutions.

该算法将属性核直接引入到蚂蚁构造的每一个解中，降低了问题规模，新定义的状态转移规则和信息素更新规则体现了约简中属性间的无序性特点，有利于在优解邻域内搜索。

This paper presents a N-R method of acquiring multi-level reasoning production rules automatically based on NN, so as to resolve the bottle neckproblem in building a knowledge - based system-knowledge acquisition. This methodadopts a characteristic NN structure model and corresponding learning algorithm, so thatN -R method can fix the number of hidden nodes dynamically and form new conceptswhich are not defined in the sample set in the course of learning. Having been trained, NNis transforme...

本文为解决知识系统构造过程中的瓶颈问题──知识获取，提出了一种基于神经网络NN的自动获取多级推理产生式规则的N－R方法，该方法采用了特有的NN结构模型和相应的学习算法，使得NN在学习过程中动态确定隐层节点数的同时，也产生了样例集中没有定义的新概念，学习后的NN能用本文提出的转换算法转换成推理网络，最终方便地得到产生式规则集

Meanwhile, in the course of constructing knowledge base of the expert system, it adopts judge trees to express the knowledge, on the basis of case and uses algorithm ID3 to prune the judge tree to form producing formula.

同时在构造专家系统知识库的过程中，采用了以实例为基础的判定树式知识表示，并用ID3算法对判定树进行剪枝构造产生式规则，为建立专家系统的核心奠定了基础。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。