This paper presents a novel neural network architecture based on fuzzy set theory, FIBP.
提出了一个基于模糊集理论的新的神经网络结构及其学习算法。
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 is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
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.
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。
In this paper, a ship fire alarm system is designed using fuzzy system theory and neural network.
提出了一种利用神经网络和模糊系统理论设计船舶火灾报警系统的方法。
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 model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
A new fuzzy clustering method and a distributed neural network are introduced, and the theory and their applications are stressed.
提出了一种新的模糊聚类方法，构造了分布式模糊神经网络，并重点附述了它们的原理与方法。
To overcome the problem of the angle's jumping on some critical points, the paper discussed it by using fuzzy neural network theory and solved it basically.
针对分区间检测法临界点处的跳跃问题，利用模糊神经网络理论进行了探讨，基本解决了临界点处的跳跃问题。
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。
In combination with the fuzzy theory with the neural network, a fuzzy-neural network for safety assessment of the long-span suspended Bridges is set up.
将模糊理论与神经网络技术结合起来，建立用于大跨度悬索桥安全性评估的模糊神经网络。
Result is recorded with requirement of testing. And coal intelligently processing realize successfully through utilizing BP neural network theory of fuzzy optimization.
结果符合试验要求，成功地实现了利用模糊优选BP神经网络进行智能化选煤。
Recently, Neuro-fuzzy Control base on the Neural Network Theory and Fuzzy Logic System was used widely and successfully.
近年来，基于神经网络和模糊逻辑的神经模糊控制得到了广泛的应用。
To the question of the hydraulic turbine regulating system, this paper discusses fuzzy neural network control (FNNC) based on the character of fuzzy logic and neural network theory.
水轮机调速系统是典型的具有非最小相位、非线性、时变特性的复杂控制系统，难以建立精确的数学模型。
The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented.
论述了模糊系统和神经网络相结合的非线性系统辨识理论。
It induces the solved problem and the got conclusion, and shows the future development of the Neural Network and the Fuzzy Theory.
最后对全文作出总结，归纳了本文所解决的问题和得出的结论，并对神经网络和模糊理论的研究方向和发展前景进行了展望。
The fuzzy technology and fractal theory are combined with neural network and applied to predict coal spontaneous combustion in coal mine.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于采空区遗煤自然发火的预测中。
Describing the type of fuzzy neural network and training algorithm, neural network and fuzzy theory combined forecasting model.
介绍了模糊神经网络的类型和训练算法，将神经网络、模糊理论结合，建立预测模型模型。
Normal fuzzy neural network (NFNN) was constructed by integrating fuzzy theory and neural network technology in this paper. It has been used in unmanned driving car along a predefined track.
把模糊理论与神经网络理论相结合，构造了一个正规化模糊神经网络NFNN，并应用于无人小车自动轨迹跟踪的控制。
In the end, this paper makes a summary for the whole. It induces the solved problem and the got conclusion, and shows the future development of the Neural Network and the Fuzzy Theory.
最后对全文作出总结，归纳了本文所解决的问题和得出的结论，并对神经网络和模糊理论的研究方向和发展前景进行了展望。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.
针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。
In order to handle the uncertainties in fault diagnosis of analog circuits used in the control system, a method, which combines fuzzy theory and neural network, was proposed.
针对控制系统中模拟电路故障诊断时的不确定性问题，提出了将模糊理论和神经网络相结合的方法。
In the chapter 5 the trained fuzzy rule is confirmed by the data adding random noise, the result shows that compensatory fuzzy neural network can respond the trend of theory variety.
在文中的第五章，对补偿模糊神经网络训练的规则用经过噪声污染的数据进行验证，结果表明，网络能比较真实的反应理论结果的变化趋势。
Via introducing neural network theory and fuzzy sets theory , a novel neural network algorithm (NNBF) based on fuzzy sets is proposed.
将神经网络思想引入到景象匹配，提出了基于模糊集的神经网络景象匹配算法。
Via introducing neural network theory and fuzzy sets theory , a novel neural network algorithm (NNBF) based on fuzzy sets is proposed.
将神经网络思想引入到景象匹配，提出了基于模糊集的神经网络景象匹配算法。
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