第四章是模糊人工神经网络的BP算法。
In chapter 4, it introduces the BP algorithm of the fuzzy artificial neural network.
基于均匀设计、差分法和模糊人工神经网络建立了新的隧道围岩物理力学参数反分析方法。
The new back analysis method of physics and mechanics parameters of surrounding rock was established by uniform design, calculus of differences and fuzzy artificial neural networks in this paper.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
为解决汽车安全气囊适时、正确触发问题，将模糊逻辑与人工神经网络技术引入汽车安全气囊触发控制算法研究。
The fuzzy logic and artificial neural network technologies are introduced into the algorithm for airbag deployment control, with a view to the appropriate and correct deployment of the airbag.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
利用人工神经网络与模糊集的理论和方法提出了诊断亚健康状态的一种分类器模型。
This paper, based on the theory and method of artificial nerve networks and fuzzy sets, puts forward a classifier model used for diagnosing the quasi-heath state.
介绍了人工嗅觉模拟技术的原理，提出了一种利用神经网络和模糊系统理论设计智能建筑火灾报警系统的方法。
This paper introduces the principle of the olfactory analogy, and advances a method for designing the fire alarming system of intelligent building by using neural network and fuzzy system theory.
阐述了人工神经网络和模糊理论的相关概念和原理，分析了它们各自的优缺点以及它们之间的互补性。
Elaborates of artificial neural networks and fuzzy theory concepts and principles, analyzes their advantages and disadvantages, also about complementarities between them.
设计了一个简单的人工智能故障诊断系统模型，它包括知识库、模糊推理、神经网络和控制模块等。
A simple artificial intelligence system for fault diagnosis established in this paper. The system consists of knowledge base, fuzzy reasoning module, neural network module and control module.
本文的研究内容是基于模糊逻辑和人工神经网络的智能控制策略及其在运动控制中的应用。
This thesis focuses on the intelligent control strategies based on fuzzy logic and neural networks and its application in motion control.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
详细介绍了数据挖掘技术的常用方法，包括模糊理论、粗糙集理论、云理论、证据理论、人工神经网络、遗传算法以及归纳学习。
Mostly used methods are introduced in detail, including fuzzy method, rough sets theory, cloud theory, evidence theory, artificial neural networks, genetic algorithms and induction learning.
遗传算法、神经网络与模糊控制是当前人工智能中的主要研究领域。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
对配电网的空间负荷预测方法进行改进，重点研究小区用地分析的模糊推理模型，把人工神经网络技术与模糊推理系统相结合的方法应用于小区用地分析。
This paper presents the improvement of spatial load forecasting method of distribution network, and the fuzzy inference on small area land-use analysis is emphatically studied.
该系统将人工智能中的神经网络控制技术和模糊控制技术结合，采用闭环控制方式，实现对带式输送机物料流量的智能自动控制。
Combining neural network technology with fuzzy control technology, taking the closed loop control method, the system can control the delivery of the material flow automatically.
研究结果表明，该模型判别预测结果与人工神经网络模型及模糊概率模型的判别结果及实际岩爆情况较吻合。
The results show that the results predicted by Bayes model are both in good agreement with the practical conditions and the results obtained from the neural network model and fuzzy probability model.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
采用集成基于事例推理，模糊推理，模糊神经网络(FNN)等多种人工智能推理技术，建立了铝合金电阻点焊工艺参数设计系统。
A process parameters design system of resistance spot welding of aluminum alloys integrating case based reasoning, fuzzy inference and fuzzy neutral network (FNN) was developed.
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
针对六自由度并联平台运动控制精度不高的缺点，结合人工神经网络的优点，提出了一种动态模糊神经网络(DFNN)控制器来控制并联平台。
Aiming at the low control accuracy of 6-dof parallel platform, a dynamical fuzzy neural network (DFNN) was proposed to control the parallel platform which had advantages of artificial neural networks.
实例检验结果表明，采用这种方法可以提高模糊优选人工神经网络的训练效率，预测结果更合理。
The case of prediction showed that the means had more efficiency, the prediction result was reasonable.
针对金免疫层析定量测试的要求，将模糊逻辑与人工神经网络相结合，采用模糊神经网络隐式PID控制作为控温方法。
According to the requirement of the GICA strip quantitative detection system, the fuzzy neural networks PID is used by combining fuzzy logic and artificial neural network.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
针对目前建筑火灾事故频发及事故后果严重、影响大的现实问题，提出并介绍了基于模糊控制理论、人工神经网络的火灾安全报警系统，以及系统的作用原理。
A building fire alarm system based on fuzzy theory and neural networks and its working principle are introduced due to frequent occurrence of fire accidents and severe damages.
本文利用模糊分析和人工神经网络相结合的方法建立了边坡稳定性分析模型。
We have proved that the neural network can assess slope stability through inputting the model to the trained net.
本文利用模糊分析和人工神经网络相结合的方法建立了边坡稳定性分析模型。
We have proved that the neural network can assess slope stability through inputting the model to the trained net.
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