At last the feasibility of using BP ANN in the fault diagnosis expert system of hydraulic power system is discussed.
探讨了BP神经网络用于液压设备故障诊断专家系统的可行性。
The system consists of a database management module, BP ANN module, traditional predictive module, graphic module, etc.
该系统由数据库管理模块、BP人工神经网络模块、传统预测模块以及图形显示模块等组成。
The calculation for the equilibrium moisture content of food materials with a high moisture content by the BP ANN technique is presented.
介绍了用BP神经网络技术预测高水分食品物料平衡含水量的方法，并用试验数据进行了数学建模。
A model for refrigerator energy consumption of a central air-conditioning system was established with nonlinear mapping capability of BP ANN.
利用BP人工神经网络的非线性映射能力，研究建立了中央空调系统制冷机的能量消耗模型。
This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.
采用湖南洛塔地区屋檐洞地下河系统降水—径流资料训练BP人工神经网络，建立了该系统的径流预测模型。
BP ANN model of back analysis of CFRD has been constructed with Newff Function of MATLAB language, the material parameters of Duncan E-B model is calculated by back analysis.
运用MATLAB语言提供的神经网络功能函数，建立面板堆石坝反分析的BP神经网络模型，对邓肯e - B模型的材料参数进行反演计算。
In order to reduce the operation cost and optimize the unit commitment, the fast algorithm about unit commitment based on revised BP ANN (Artificial Neural Network) and dynamic search is discussed.
为了使机组达到最优组合，减少运行成本，研究了基于修正BP人工神经网络与动态搜索的快速算法在机组组合中的运用。
By comparing with standard BP model, it shows that both the two improved methods can improve the precision of ANN efficiently.
通过与标准BP算法的比较，表明这两种改进方法都能有效地提高神经网络模型的精度。
Compared with general ANN design, this paper puts forward a new operator, BP operator, and optimizes the ANN's initial weights and structure at the same time.
本文与一般的基于遗传算法的神经网络设计相比，提出一个新型算子——BP算子，并对神经网络的权值和结构同时优化。
It is used modified BP algorithm to train ANN, and analyze topology of ANN and ways how to select its train parameters.
采用改进的BP算法来训练神经网络，并对网络的拓扑结构及其训练参数的选择进行了分析。
Chapter two describes the basic knowledge of ANN and BP (Error Back Propagation), and how to use in MATLAB.
第二章介绍了神经网络和BP网络的基础知识，及在MATLAB中的应用方法。
To enhance the validity of evaluation, based on ANN(artificial neural network), a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.
为了提高评价的准确性，采用人工神经网络技术，建立了基于BP神经网络的道路交通安全综合评价模型。
This paper discusses the technology of DM based on ANN(artificial neural network), puts forward an improved BP algorithm, and carries out analysis and testing in terms of the algorithm.
探讨了基于人工神经网络的数据挖掘技术，提出了一种改进的BP算法，并针对这种算法进行了分析测试。
The trials of orthogonal design were chosen as the training set of the BP-ANN, and forecasted the trails of the entire field.
选取正交设计的试验点作为反向传播人工神经网络的训练集，实现对全实验域试验点的预测，并与实测的试验数据比较。
Based on the theory of BP artificial neural network (BP-ANN), the model for grade of farming land and accuracy measurement were designed.
基于BP人工神经网络(BP -ANN)原理，针对农用地分等的问题，设计了BP神经网络农用地分等模型和精度检测方法。
The ANN BP arithmetic can solve the problem of nonlinear mathematics effectively, and possess higher collateral processing ability.
人工神经网络BP算法可有效解决非线性数学建模问题，并具有较强的并行处理能力。
Back propagating artificial neutral net (BP-ANN) was applied to the forecasting of photochemical degradation of phthalates.
将反向传播人工神经网络(BP - ANN)用于邻苯二甲酸酯类化合物的光化学降解的预测中。
The application of the improved BP algorithm, paralysis which may happen in the training procedure of ANN, was effectively avoided.
同时使用改进的BP算法，避免了神经网络学习中可能产生的麻痹现象。
By designing the BP-type ANN based CCT estimators with the selected features as inputs, the effectiveness of feature selection is further verified.
通过构造基于BP网络的临界切除时间(CCT)预测器进一步验证了特征提取的有效性。
The thesis introduces some ANN design algorithms, which are BP algorithm, FP algorithm, alternative covering design algorithm of multi-layer neural networks.
文中介绍了目前使用的几种不同的人工神经网络设计算法：BP算法、FP算法、多层前向网络的交叉覆盖设计算法。
Applying the theory of ANN, in this paper established the BP neural network model to predict the trend of development of condition monitoring data and simulated the network in MATLAB.
应用神经网络理论，建立了预测状态监测数据趋势的BP神经网络模型，并通过MATLAB实现了仿真编程。
The training model of test simulation for car of inverted pendulum based on BP algorithm of artificial neural networks (ANN) is a BP network that has 4-input and 3-layer structure.
基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。
The standard error of prediction (% SEP), the mean prediction error (MPE) and the mean relative error (MRE) were utilized to evaluate the prediction ability of the BP-ANN.
用标准预测误差(%SEP)，平均预测误差(MPE)和平均相对误差(MRE)来评价其预测能力。
It is concluded that GA-BP compound algorithm has improved the performance of ANN and good results nave bee obtained in coal and gas outburst intensity forecast.
该算法提高了网络性能，在煤与瓦斯突出强度预测中取得良好效果。
The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed.
将以误差反向传播为训练算法的前馈式人工神经网络（BP- ANN）首次用于中草药的裂解气相色谱谱图解析。
The BP algorithm with the variable slope for the sigmoidal activation function accelerates the ANN training dramatically.
应用可变斜率的改进的BP算法，极大地加速神经网络的学习速度。
With the ANN toolbox of MATLAB6.5, a three-layer BP network model for earthquake economic loss estimation is built up. This model is applicable to fast estimation of post-quake economic loss.
应用MATLAB6.5神经网络工具箱，建立了适用于震后经济损失快速评估的三层BP神经网络地震灾害经济评估模型。
The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault.
基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力，且能够对故障引发部位实现精确诊断和定位。
The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault.
基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力，且能够对故障引发部位实现精确诊断和定位。
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