提出了一种自学习模糊逻辑推理网络的系统设计方法。
This paper has presented a method of designing a learning fuzzy logic reasoning network system.
协调级由协调推理网络描述，具有优化、自适应和自校正功能。
The coordinating step is discribed by coordinative reasoning net work and has optimization, self-fitt ing and self-correcting functions.
在研究现有文本信息检索技术的基础上，设计了基于推理网络的文本检索模型。
By the research on the existent IR (Information retrieval) technology, a text retrieval model based on inference network is designed.
模糊推理网络(FIN)和模糊联想记忆网络(FAM)是两种最重要的FNN模型。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
对以模糊逻辑为基础的推理方法进行了探讨，并用以模拟专家的思维过程，提出了条带开采专家系统的推理网络。
Reasoning method based on fuzzy logic is used to simulate thinking processes of human experts, and reasoning network of strip mining expert system has been proposed.
针对不同的网络，可以采用不同的推理算法，以加快推理速度，提高计算效率。
To different networks, we adopt different inference algorithms to quicken the rate of reasoning and improve calculation efficiency.
贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
在语义网络的接近顶层，人们可以发现推理—通过规则的对数据的推理。
Near the top of the Semantic Web stack one finds inference - reasoning over data through rules.
神经网络可以解决高炉专家系统最困难的知识获取与推理能力弱等问题，并适合于对高炉分布数据进行模式识别。
Neural network can solve some problems of blast furnace expert system such as knowledge getting and inference ability, and it is suitable for pattern recognition of blast furnace data distribution.
人们做这样事的方法就是从自然之中取得线索并且他们试图造庞大的并联网络以便能够推理。
And one way people do this is they take a hint from nature and they try to construct massively distributed networks to do aspects of reasoning.
因此采用贝叶斯网络推理和诊断具有一定的针对性。
So application of Bayesian Networks for reasoning and diagnosis has a definite pertinence.
以特征信息结构树为基础，对贝叶斯网络模型进行推理，来获得客户需求的兴趣集中点。
Through reasoning Bayesian network model based on the features information construction tree of client requirement, the client requirement concentration is acquired.
为了实现过程状态模型的智能输出，运用人工神经网络实现自动推理的功能；
In order to achieve intelligent process state model output, the use of artificial neural networks for automatic reasoning capabilities.
设计了适合三峡各电站操作的网络拓扑、知识库、推理机制等；
Design a network topology, knowledge database, reasoning mechanism that suit the various operation of power plant.
提出一种基于因果网络的诊断推理模型。
A diagnostic reasoning mode based on causal network is proposed.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
实验说明，基于贝叶斯网络推理的知识可以不断修正先验知识，获得对客户流失等问题的正确认识。
Experiments prove that the priority knowledge can be corrected continually by inference information of Bayesian network, and help to solve the problem of subscriber churn.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
结合规则推理与神经网络，提出了一种新的空袭武器辅助选择方法。
This paper presents a new method of aided air-raid weapon selection by coordinating rule-based reasoning and neural network.
模糊推理则由网络的自联想功能完成。
The fuzzy inference is realized by the self-association capability of networks.
分析了网络安全态势估计问题的本质特征，构造了网络安全态势推理评估的求解模型。
Analyzing the essential characteristic of the network security situation assessment, and the reasoning model is proposed.
同时利用贝叶斯网络实现概率推理，便于描述故障特征的变化及对变压器故障原因的快速分析。
At the same time, probability reasoning can be realized by BN, which can be used to describe changes of fault symptoms and analyze fault reasons of transformer.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
基于模糊推理和BP神经网络的故障诊断模块(系统)具备良好的故障诊断能力。
Faults diagnosis module based on blur discursion and BP nerve network is used here for its preferable ability of faults diagnosing.
状态监测任务由基于多网络协同推理的方法完成，采用特征融合和时空判决融合技术提高推理效率。
The technique which combine the feature compression, time-space decision fusion and multiple network cooperative inference, is used to improve the inference efficiency in the monitoring.
对于新的岩石，网络采用并行推理的方法预报出其可爆性。
The blastability of new type of rock mass is predicted by means of the method ofparallel inference.
网络拓扑推理是网络管理系统的基本功能之一，AS级拓扑推理是其重点和难点。
Network topology inference is one of the basic functions of a network management system, and the AS-level topology inference is its focus and difficult point.
网络拓扑推理是网络管理系统的基本功能之一，AS级拓扑推理是其重点和难点。
Network topology inference is one of the basic functions of a network management system, and the AS-level topology inference is its focus and difficult point.
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