It also analyses the influential factors of ground improvement , finds out the key factors , and makes the filling height , thickness of soft soil and the original void - ratio as the input parameters of decision model . then , their subject functions are formed according to the clearing up and the statistics of many practical data . finally the fuzzy inference principle is founded based on many experiments 分析并找出了软基处理的关键影响因素，选择填土高度、软土层厚度和软土的初始孔隙比作为决策模型的输入参数，通过对大量实际数据的整理统计工作，构造了它们的隶属函数，通过大量试验，建立了模糊推理规则，并结合具体的工程实践证明了本模型的实用价值。
In this paper , some key factors in the process of composite liquid - solid extrusion had been researched through a large amount of experiments and the common rules of composite liquid - solid extrusion had been obtained . the sample data was built and the common fuzzy rule was set up through analyzing the experimental data collected during the experiments . the fuzzy neural network model of composite liquid - solid extrusion had been set up , the sample data had been fitted and the accurate fuzzy rule had been concluded through training the fuzzy neural model with the sample data 本文通过大量的试验，对液-固挤压成形工艺中的影响因素进行了研究，初步掌握了该成形工艺的一般规律；在分析实验数据的基础上确定了实验样本集，并初步确定了该工艺系统的模糊推理规则；利用模糊神经网络技术对液-固挤压工艺系统进行建模，实现了对样本数据的良好拟合；补偿模糊神经网络在训练过程中能够根据样本动态调整网络参数，提取较为准确的模糊推理规则；通过利用该工艺系统模型进行参数预测，得到了与实验数据吻合较好的预测结果。
Secondly , in the theory of gl with the four rules of producing such as generator rule , generating radix rule , rule of basis space changing , developing order rule , gpl can produce all kinds of basic operation model with other logic such as classical propositional logic , three - value logic , fuzzy logic and broad sense fuzzy logic . finally , it proved that a material logic can be produce by gpl . and it shows the universality gpl can contain most logic 众所周知，逻辑学家正是利用这些定义证明了该逻辑的全部推理规则，建立起了整个命题逻辑体系；然后我们直接利用命题泛逻辑学的生成规则，通过对广义相关系数h的不同取值也同样生成了这些运算模型，也就是说直接生成了这个命题逻辑；这个生成过程还揭示了各种运算模型的物理意义和使用条件，也就是说揭示了各种命题逻辑的物理意义和使用条件。
The knowledge base of the model including fuzzy deduce parameters , the weigh parameters of judge factors which are setting by education experts and fuzzy deduce rules which come from experience of education experts is a form of information for the knowledge of experts and precondition to make self feed back system intelligent 该模型中的知识库包括教学专家设置的模糊推理参数和评判因素的权重参数以及基于专家经验的模糊推理规则等，是教学专家知识的信息化形式，是自反馈模型具有智能化的前提。
Check the current and voltage on charge or discharge , use fuzzy control principle and ah approach to estimate the soc , and correct the actual charge to get the exact result , in this work , a multi - layer feed forward neural paradigm is used for soc fuzzy estimator design , and a rapid learning algorithm that is realized model structure identification is proposed also , and find the fuzzy principles make use of their massively parallel architecture and learning capacity 构造一多层前馈神经网络来进行模糊推理，提出了一种快速学习算法用于网络的学习过程，利用神经网络的并行计算、自学习的特性，根据样本数据发现模糊推理规则，并在应用过程中对模糊规则自动修正，提高预测准确性。这种方法不需要对蓄电池有很多的先验知识，不需要建立复杂的数学模型。
Chapter iii classify the patrol knowledge into three levels , and represent them in bnf mode . construct the base of patrol knowledge with the acquired patrol knowledge and effective management and organization for the knowledge . reasoning mechanism , rules , level reason method , reason process , are all discussed in detail 第三章，给出了巡检知识三层表示及bnf表示，通过获取巡检知识，并对知识实施有效的组织和管理，建立了巡检知识库；给出了巡检计划的推理机制、层次推理方法、推理规则、推理流程；在已建立的巡检知识库的基础上，运用巡检知识的推理实现了巡检计划自动生成。
It introduces the method of self - adjustment , build the - of predictive fuzzy control . the controller mainly fulfils the following operations ; 1 burring the signal or the m oisture 2applying the blurred control theory and the last , the aim of controlling the moisture of the pulp is achieved through the output control signal of the monolithic microcomputer blurred control 预测模糊控制的控制器主要功能如下：把水分含量信号模糊化；应用模糊控制推理规则进行分析；根据双因子模糊控制表进行模糊决策；并把模糊决策与预测控制结合起来对球磨机制备料浆水分含量实施控制。
