This section outlines this heuristic knowledge and the corresponding business rule implementation. 本节将概括介绍这种知识和相应的业务规则实现。
Business rules effectively and efficiently capture the heuristic knowledge that humans use to solve Sudoku. 业务规则可以有效地捕捉人们用于解决数独的启发式知识。
Secondly, for the purpose of speeding up the process and ensuring the randomicity and universality, heuristic knowledge is added to endpoint initializing in the construction of original population. 第二,为加速规划的进程,同时保证充分的随机性和广泛性,初始群体构造采用端点启发初始化方法。
A classification algorithm based on explanation could be put into the category of heuristic classification in knowledge engineering. 基于解释的分类算法可纳入知识工程中启发式分类的范畴。
In this paper we present a text location algorithm based on heuristic knowledge and machinery learning. 论文介绍了一种基于先验知识和机器学习的文本定位方法。
Approach towards a Less Destructive Crossover Operator with Heuristic Knowledge 利用启发性知识降低交叉算子破坏性的研究
Because the A algorithm searches for the globally best resolution with heuristic knowledge, the fast convergence to the global minimal energy is guaranteed. 由于A~搜索过程是一种全局最优搜索算法,并且在搜索过程中充分利用启发信息,从而能够保障并加快全局最小能量的收敛。
A heuristic knowledge based Graduate School Timetable Scheduling System 基于启发性知识研究生院课表编排系统
Based on the detailed analysis of the problems in current neural network, it is considered that the utilization of heuristic heuristic knowledge 'in the learning Of neural network would be an imper'tant approach to improve the ability, quality and efficiency of neural network learning. 基于对目前神经网络存在问题的具体分析,认为将启发性信息引入神经网络训练将是提高网络学习能力\质量以及效率的重要途径。
Based on the known methods of knowledge representation, we improved the method of our system and proposed a method of combining frame knowledge representation with heuristic rule knowledge representation. 在对己有知识表示方法的研究的基础上,对系统原有知识表示方法进行了改进,提出一种框架表示法与产生式规则表示法相结合的混合知识表示方法。
The experiment results show that the GA algorithm with heuristic knowledge is effective for parallel query processing of multi-joins, and plays an important role in improving the performance of database systems. 实验结果表明,结合启发式知识的遗传算法是解决多连并行查询优化的有效途径,对提高数据库的性能起到重要作用。
Heuristic knowledge reduction approach based on discernibility matrix and strong compressible set is proposed. 提出了基于区分矩阵与强等价集的启发式知识约简方法。
According to the ideas of knowledge engineering and concepts of tne heuristic knowledge in the seal imprint verification, an effective and practical approach has been presented in this paper. 本文从知识工程的角度出发,对印鉴鉴别中的启发式知识进行了深入的讨论,并在此基础上引入了一套完整的基于启发式知识的印鉴鉴别方法。
Fuzzy systems are good at expressing human heuristic knowledge and processing fuzzy information. 模糊系统善于表达人的经验性知识,可以处理模糊的信息;
Besides, some heuristic knowledge should be developed to guide the dynamic hierarchical distribution of the control. 此外,启发式知识应加以开发去指导控制的动态层次分布。
New logic and heuristic knowledge based MINLP approach to process synthesis 基于逻辑与启发性知识的MINLP过程综合方法
For the purpose of making up the faultiness of attribute reduction algorithm based on discernibility matrix, the method of attribute importance based on discernibility matrix is put forward in this paper and is used as heuristic knowledge in deciding the sequence of attribute reduction. 在基于可辨识矩阵的属性约简算法的基础上,提出了基于可辨识矩阵的计算属性重要性的方法,并以此作为启发式知识来约简决策表中的冗余属性。
For solving the scheduling problem of FMSs, all expert system based scheduling system which combines the scheduling algorithm, heuristic knowledge, and simulation is formed to obtain a reasonable and feasible result. 最后将调度算法、启发式规则、TCPN模型和仿真结合起来,构成一个基于专家系统的调度器,产生出虽非最优,但是具有比较好结果的可行调度,有效地解决了动态仿真中的FMS调度问题。
On one hand, better individuals are generated by adopting heuristic knowledge and conserved effectively to accelerate optimization of the algorithm; 算法一方面通过启发式知识产生优良个体并有效保存,加速算法寻优;
It makes use of chaos variable to find initial solutions with favorable distribution, combines with heuristic knowledge in local search process, and puts forward especial greedy rerouting and extended greedy principal, all of which are to increase efficiency and global search ability. 算法采用群局部搜索,利用混沌变量产生一组分布好的初始解,在邻域搜索过程中融入启发式信息,并设计了特别的贪婪重路由以及扩展贪婪原则,提高了算法效率和全局搜索能力。
The Strategy of Constrained Learning of Neural Networks Utilizing Heuristic Knowledge 基于启发知识的神经网络训练策略
Designs a new fitness function according to the heuristic knowledge. 根据启发性知识,设计了特别的适应度函数。
It relies on evolutionary algorithm to search for, find and select the proper rules, realizes several implicit objectives by inducting heuristic knowledge to create default rule structure, and designs a genetic evolutionary machine learning system ( GEML 1) with satisfied robustness and flexibility. 设计并实现了遗传进化机器学习系统GEML-1,该系统具有良好的鲁棒性和柔顺性。
In the approach, heuristic search scheme is used to calculate the registration relation, several effective features are extracted based on heuristic knowledge, and final decision is made in a statistical classification model with structural information. 该方法以启发式搜索获得配准关系,并根据启发式知识在其中提取一组结构特征,最后结合结构信息和统计模型作出判决。
In addition, users must be provided with workflow support, heuristic support with knowledge, and coordination support before they can drive the software development process. 在用户方面,应该对其提供工作流和信息流支持、启发知识支持和协同交互支持,并使软件开发各活动由用户驱动。
Combining with the heuristic knowledge, an integer coding based hybrid genetic algorithm for the mission assigning problem is proposed. 将问题的启发性知识融合进遗传算法,提出了求解该问题的基于整数编码的混合遗传算法。
It has been proved the computation of minimal reduction and full reduction both is NP-hard problem, in artificial intelligence the common way is to employ heuristic knowledge to reduce. 研究表明,最小约简的计算和全部约简的求算都是NP问题,在人工智能中,解决这类问题的一般方法是利用启发式信息进行约简。
To express knowledge accurately, import heuristic knowledge and improve reasoning efficiency, we must use an appropriate data-structure to express frame knowledge in Expert System. 采用一种适宜的数据结构表示专家系统中的框架知识,既能充分正确、灵活方便地表达知识,又易于引入启发性知识,提高推理的效率。
Based on the heuristic transcendent knowledge, the system dynamically plans the migrate route using this method. 2. This thesis proposes a service dynamic adaptability method based on workflow service substitution mechanism. 提出一种基于工作流服务本体替换机制的服务动态适应性方法。
· Heuristic algorithm for knowledge reduction in incomplete decision tables. The Rough sets model based on the tolerance relation is the most cited one for incomplete decision tables. 不完备决策表的启发式知识约简算法.基于容差关系的Rough集模型是描述不完备决策表最常用的一种模型。