这样的网络构成了基于知识的模糊神经网络。
Such configured artificial neural networks are knowledge-based fuzzy neural networks.
为了解决决传统专家系统的知识获取瓶颈问题，采用了基于神经网络的智能评价决策专家系统(NIEDES)。
In order to solve the bottle neck problem in traditional expert systems, a Neural Network Based Intelligent Evaluation and Decision expert system (NIEDES) was used.
评价功能是基于决策者(专家)的知识和模糊神经网络实现的，适用于以语言型变量为主的系统的评价问题。
The evaluation system is realized based on the decisionmakers' knowledge and the fuzzy neural networks, and suitable for the problems in which most variables are linguistic variables.
研究了基于BP模型神经网络的故障诊断方法，它只需来自生产实际的大量样板实例或领域专家的知识训练神经网络。
The method of fault diagnosis based on BP model neural network is studied, in which enough typical fault samples or expert knowledge are needed to train the neural network.
讨论了一个基于神经网络处理系统，实现了推理知识的自动获取和自适应模糊推理，具有很强的实用性。
A practical neural networks based classification system was discussed in this paper, in which automatic knowledge acquiring and fuzzy reasoning was realized.
针对知识发现中的信息模糊查询问题，提出了一种基于神经网络的信息聚类及联想实现方法。
In this paper, a method of information clustering and concept association is shown, it is based on neural network, and it aims at inkling information searching in knowledge discovery.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
提出一种新的基于耦合神经网络实例与知识的混合推理策略。
A new hybrid reasoning strategy based on case and knowledge is proposed.
从分析掌纹诊病的特点出发，采用了神经网络的知识处理方法来构建一个基于掌纹病理特征的诊病专家系统。
After analyzing the characteristics of palmprint diagnosis, the neural network model was adopted and an expert system for palmprint diagnosis was constructed.
提出了基于神经网络的知识获取方法。
A method of knowledge acquisition based on neural network is proposed.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
医学知识存储在症状与疾病的模糊关系上。推理时使用模糊关系合成的方法。对基于规则的神经网络方法，从规则集中自动构造网络的结构，确定隐层节点数和连接权值。
The clinic knowledge is stored in the fuzzy relations between disease condition and the all correlative disease, and It can get the clinical diagnosis from these fuzzy relations by synthesizing.
提出了一种基于知识的模糊神经网络并用于故障诊断。
A novel knowledge-based fuzzy neural network (KBFNN) for fault diagnosis is presented.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
本文提出了一种基于分布式知识的广义优化方法——基于KOHONEN神经网络的模拟退火算法。
A generalized optimization method based on distributed knowledge - - - - simulated annealing algorithm based on KOHO-NEN neural network is presented in this paper.
本文提出了一种基于分布式知识的广义优化方法——基于KOHONEN神经网络的模拟退火算法。
A generalized optimization method based on distributed knowledge - - - - simulated annealing algorithm based on KOHO-NEN neural network is presented in this paper.
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