Some alteration were made on structure and training algorithm for traditional serial fuzzy BP neural network.
本文对传统的串联型模糊bp网络进行了结构和训练算法上的部分改进。
The segment fuzzy BP Neural Network is adopted to predict the passenger traffic volume of railways in data mining based on analyzing the data feature of railway passenger tickets.
在分析铁路客票数据特征的基础上，提出采用分段模糊BP神经网络对铁路客运量进行数据挖掘预测。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
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。
By using information diffusion method combined with BP neural network, the author suggests a kind of fuzzy neuron in this paper which is applicable to earthquake engineering.
本文将信息扩散方法和BP型人工神经元网络相结合，建立了一类可供地震工程领域使用的模糊人工神经元网络。
At last we use examples to verify the accuracy of the method that combines BP neural network with fuzzy logic and the expert advice to appraise the predominance industry.
最后以实例验证了应用BP神经网络结合模糊逻辑和专家意见法进行主导产业的评价的准确性。
In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.
本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The emphasis is placed on the design of the fuzzy controller, the method of determining system′s gain parameter and the method of realizing BP neural network.
重点研究了模糊控制器的设计、系统增益参数的确定方法和BP神经网络的实现方法。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
This thesis propose an adaptive fuzzy control method based on BP neural network decoupling for typical thermodynamic processes and study the control system.
本文将针对这一热工过程，提出基于BP神经网络解耦的自适应模糊控制方法。
Engine idling control methods are discussed. Control methods applying fuzzy control and BP neural network control are studied deeply.
讨论了发动机怠速控制方法，对用模糊控制、BP神经网络控制方法进行了深入研究。
Based on fuzzy entropy rule and sum-squared error rule, a fuzzy learning method was presented. According to this method, BP neural network was used to model the performance of air-conditioning units.
基于模糊熵准则和误差平方和准则建立了模糊学习算法，基于该模糊学习算法，应用BP神经网络对柜式空调机组的性能进行了模拟。
Based on the analysis and study of problems existing in oil and gas prediction using BP network, we propose a kind of fuzzy neural network.
本文在分析研究BP网络油气预测存在问题的基础上，提出了一种模糊神经网络。
A fuzzy neural network in t s model is constructed. Chaotic mechanism is introduced into the normal BP algorithm to train the weight parameters of the fuzzy neural networks.
出一种T -S模型的模糊神经网络，在通常BP算法的基础上，引进混沌机制来训练模糊神经网络的权值参数。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
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。
It has been shown in practical application that the fuzzy neural network brings good prediction effect in an area in which BP network has poor hydrocarbon prediction effect.
通过实际资料应用表明，在单独应用BP网络进行储层及油气预测效果较差的地区，采用模糊神经网络能取得较好的效果。
The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network.
利用BP网的分类性可以将采集到的清晰数据集广义地分成模糊类。
The method utilizes fuzzy neural network as executive institution of fault diagnosis, and utilizes BP algorithm as training algorithm of network.
该方法采用模糊神经网络融合诊断中心作为故障诊断的执行机构，算法上采用BP算法。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
The known study algorithms which are used to be Fuzzy Neural Network parameter study algorithms are BP algorithm with gradient descent and inheritance algorithm.
目前使用的最多的学习算法仍然是基于梯度下降的BP算法和遗传算法。
The known study algorithms which are used to be Fuzzy Neural Network parameter study algorithms are BP algorithm with gradient descent and inheritance algorithm.
目前使用的最多的学习算法仍然是基于梯度下降的BP算法和遗传算法。
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