In chapter 4, it introduces the BP algorithm of the fuzzy artificial neural network.
第四章是模糊人工神经网络的BP算法。
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.
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 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.
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 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.
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。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
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。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
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。
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.
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。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
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) has good processing ability to the non-linear information so that it is suitable for solving the index complexity and fuzzy problem.
人工神经网络具有良好的非线性信息处理能力，特别适宜于解决风险评价中多指标复杂性和不确定性的问题。
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.
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。
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.
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。
The advantages of this adaptive fuzzy control method compared to other nonlinear control method (artificial neural network control) are analyzed.
分析了该方法与其它非线性控制方法(神经网络控制)相比所具有的优点。
On the basis of many research, a modified artificial neural network algorithm based on fuzzy theory is proposed to improve the forecasting precision of flood peak.
在大量研究的基础上，提出了基于模糊理论的神经网络改进算法，用来提高对洪峰的预报精度。
On the basis of many research, a modified artificial neural network algorithm based on fuzzy theory is proposed to improve the forecasting precision of flood peak.
在大量研究的基础上，提出了基于模糊理论的神经网络改进算法，用来提高对洪峰的预报精度。
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