逻辑是一套推理系统，而推理就是你处理自己的思想。
Logic is a system for reasoning, and reasoning is what you do with your thoughts.
给出了相干命题逻辑自然推理系统NR的自动证明算法。
This paper presented an automated reasoning algorithm for natural deduction system (NR) of relevance propositional logic.
因此进化应该更喜欢总成本最小化的推理系统，而不是错误的总数最小。
Evolution should therefore favor an inference system that minimizes, not the total number of errors, but their total costs.
采用减法聚类辅助模糊推理系统进行电力系统短期负荷预测。
The application of Subtractive Clustering Fuzzy Inference System model to forecast short-term load is presented.
本文介绍一个以KLND为核心语言的并行推理系统NDPIS。
This paper presents NDPIS, a parallel inference system with KLND as its Kernel Language.
介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。
A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
智能几何教学软件都使用基于前推法的几何推理系统作为推理引擎。
The automated geometry reasoning system based-on forward chaining is used as the reasoning engine in the intelligent geometry teaching system.
建立意图后承的形式化推理系统是意图形式化研究中的一个重要课题。
To establish a formal inferential system of intention consequences is an important issue in the formal study of intention.
哈塞·尔顿和丹纽认为，进化，作为生命的工程师，把男人的推理系统也设计成这样。
Haselton and Nettle argue that evolution, as the engineer of life, has designed men's inference system similarly.
准确、快速地获得案例的解决方案是评价基于案例推理系统的一个重要方面。
The solution of the accurate, fast acquisition case is an important respect to appraise the case reasoning system .
其目的就是要在这种模型中，对模态逻辑形式推理系统的公理进行语义分析。
Within this model, semantic analyses are discussed for axioms of the formal reasoning system in modal logic.
专家系统是一种智能系统，是一个具有大量专门知识与经验的计算机推理系统。
Expert system is a kind of intelligent system; it is a computer inference system which has a great amount of special knowledge and experience.
与现存大多数实例推理系统不同，该方法用神经网络实现实例的动态分类和索引。
Unlike most of the existing CBR system, this approach makes use of neural networks to realize the dynamic classfication to index the case.
分析工业X射线底片焊缝缺陷特征，建立用于焊缝缺陷分类识别的模糊推理系统模型。
Weld defects classification system based on fuzzy reasoning model was established, after analysis of weld defect features in X-ray films.
实际应用表明，基于实例的推理技术提高了推理系统的效率，缩短了产品的研制周期。
It has been proved in the practical application that case-based reasoning technology can improve the efficiency of reasoning system and shrink the cycle of development of products.
提出了一种利用神经模糊推理系统（ANFIS）构建预测器的图像压缩预测编码算法。
This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).
利用上述理论和方法，开发和实现了小浪底大坝安全监控系统综合推理系统的部分功能。
With the application of the theories and methods mentioned above, partial functions of the comprehensive inference system of Xiaolangdi dam safety monitoring and controlling expert system is realized.
为了解决常规卡尔曼滤波法存在的不足，给出了用模糊推理系统与卡尔曼法相结合的方法。
In order to resolve the shortcomings of the traditional Kalman filtering, a new method is presented in which the fuzzy reasoning system is combined with the traditional Kalman technology.
在此基础上建立了应用在基于事例的推理系统CBR中的基于IBL算法的索引与检索机制。
Finally, the index and retrieval mechanism based on IBL algorithm in CBR system can be given.
根据自适应神经模糊推理系统原理，设计两个模糊系统分别逼近磁流变阻尼器的正模型和逆模型。
Then two different fuzzy systems are designed to approximate the direct model and the inverse one on the basis of adaptive neuro-fuzzy inference system(ANFIS).
在保证性能的基础上，利用训练好的模糊推理系统对材料的成分进行优化，减少贵重元素的加入量。
The alloy composition can be optimized by the neural-fuzzy method thereby enabling them to replace the more ex-pensive noble elements with lower cost material having comparable mechanical properties.
由于RBF网络和模糊推理系统具有函数等价性，采用模糊经验值方法选取网络中心值和基函数数目。
Due to the function equivalence between RBF neural networks and fuzzy inference system, fuzzy experience method is adopted to select the centers and the numb er of basis function networks.
提出一种新型的过热汽温控制方案，主控制器基于自适应神经网络模糊推理系统(ANFIS)进行设计。
A new superheated steam temperature control system design scheme is proposed, the main controller design is based on Adaptive Network-based Fuzzy Inference system (ANFIS).
对于给定的目标范例，如何从范例库中检索和选择出最为相似的范例决定了范例推理系统的学习与推理性能。
As to target case given, how to check and choose the most similar case from case-base decides learning and reasoning functions of case-based reasoning system.
该文应用自适应神经网络模糊推理系统的方法对一个典型系统进行建模仿真，并阐述这三个参数的寻优方法。
This paper gives the simulation example for modeling a typical system with Adaptive Neural-Fuzzy Inference system and expatiates the method for choosing these three parameters.
在介绍染色工艺特点的基础上，详细阐述了模糊pid控制推理系统设计的过程，并给出了软件设计流程图。
On the basis of introducing the technology characteristic of dyeing, the process of designing a fuzzy PID control logic system is related in detail and the flow chart of software is given.
作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
针对纯碱碳化过程的复杂建模问题，提出基于T-S模型的自适应神经模糊推理系统（ANFIS）的建模方法。
The paper introduces a kind of adaptive neural-fuzzy inference systems (ANFIS) based on T-S model to deal with the modeling problem of the complex soda carbonization process.
用小波分解和自适应神经模糊推理系统(ANFIS)相结合的方法，建立了赤道东太平洋海温的集成预报模型。
Based on the method of wavelet decomposition combining with ANFIS, a compositive prediction model of the equatorial east Pacific sea surface temperature anomaly (SSTa) was established.
对模糊推理系统在噪声消除中的应用进行了研究，提出了一种基于T - S模糊模型的模糊非线性噪声消除算法。
Noise canceling by using fuzzy inference system is studied. A kind of nonlinear noise cancellation algorithm based on T-S fuzzy model is proposed.
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