Because of the complexity and uncertainty of drilling process, it is proposed that the prediction and diagnosis of drilling accidents are carried out by artificial neutral network. 针对钻井过程的复杂性、不确定性等特点,提出了基于人工神经网络钻井事故预测与诊断模型。
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。
Artificial neutral networks application in relation analyzing of river high-water level and flow 人工神经网络在河流高水水位流量关系分析中的应用
Study of Mine Dust Density Sensor Output Characteristic Based on Artificial Neutral Network 基于神经网络的矿尘浓度传感器输出特性研究
Applications of Artificial Neutral Networks in Hydrogeology 人工神经网络模型在水文地质学中的应用
A forecast model for short-term water consumption in municipal water supply networks was established by the combined method of wavelet decomposition and Artificial Neutral Network ( ANN). 利用小波分解和人工神经网络相结合的方法建立了城市供水管网短期水量负荷的组合预测模型。
An artificial neutral network model for Taihu Lake ecosystem was developed to improve traditional ecological numerical models. 指出了传统生态学数学模型的不足,并建立了太湖生态系统的人工神经网络模型。
The theory of neutral network system is applied to study the mold and process anticipation during vacuum freeze-drying. Through the MATLAB method, BP artificial neutral network model is established using toolbox and the model was used to simulate the freeze-drying. 进而把人工神经网络系统理论应用于真空冷冻干燥过程的建模及过程预测研究,通过MATLAB编程,利用神经网络工具箱建立了BP人工神经网络模型,进行了冻干过程的网络模拟。
Improving DOAS System Measurement Precision with Artificial Neutral Network Method 利用人工神经网络方法提高差分光学吸收光谱系统测量精度研究
Research on the spatial variance of the soil hydraulic parameters based on the artificial neutral network 神经网络模型在根系带土壤水力特征参数空间变异性研究中的应用
The application of artificial neutral BP network to the prognosis of economic loss made by environmental pollution in mining area 人工神经BP网络在矿区环境污染经济损失预测中的应用
This paper compares the characteristics of four typical fault diagnosis methods: artificial neutral network, wavelets analysis, fussy mathematics and expert system, as well as their advantages and disadvantages. 在分析HVAC故障特征的基础上,综合比较了现有的几种故障诊断方法(包括:人工神经网络、小波分析、模糊数学和专家系统等)的优缺点。
The results indicate that combination method of orthogonal test and artificial neutral network is a valid and feasible way for predicting the unit extrusion pressure. 结果表明,采用正交试验和人工神经网络相结合的方法来预测单位挤压力是有效和可行的。
Aiming at the non-linear characteristics of logistics system, this paper presented and established artificial neutral network model to simulate the history data of logistics system, and drew out to approach the burthen curve to forecast logistics. 本文针对物流系统多种因素相关的非线性特点,建立了人工神经网络模型并对物流系统历史数据进行拟合,抽取和逼近负荷曲线进行物流预测。
Application of the Artificial Neutral Network of BP in the Mutual Forecasting for the Orthogonal Test BP神经网络在正交实验样本互预测中的应用
To improve cementing quality, a kind of forecasting method of cementing quality that is based on artificial neutral network is made to accomplish forecasting the cementing quality, tracing and analyzing. 为提高固井质量,实现固井质量的预测和跟踪分析,建立了一种基于人工神经网络的固井质量预测方法;
Based on an indices system of early warning mainly about listed companies, a rough-neutral expert system is proposed with rough theory and artificial neutral technique. 在给出了一套以上市公司为主要对象的证券市场监管预警指标体系基础上,文章结合粗糙算法和神经网络技术,设计提出了一个基于粗糙&神经专家系统的证券市场监管预警系统。
Simulation Study of Artificial Neutral Network on Ecosystem of Taihu Lake 太湖生态系统的人工神经网络模拟研究
It analyzes the factors that will influence plugging results, and the factors are generalized as 6 characterization parameters. The prediction model of oil well water plugging results is established based on artificial neutral network. 对影响堵水效果的因素进行了分析,并归纳为6个表征参数,利用人工神经网络方法建立起了油井堵水的效果预测模型。
The second is distinguishing of single-phase-to-earth fault intelligently referring to the changes of the capacitive currents of the lines and the artificial neutral voltage. 第二,根据线路电容电流和人工中性点电压的变化来智能判别单相接地故障;
First in this article it is explained the target and meaning of this project, explained status in the field of soft measurement technology, and introduced software of process simulation, artificial neutral network and technology related to data processing and database. 文章首先阐述了课题提出的目的和工作的意义,概述了软测量技术研究领域的状况,介绍了流程模拟软件、人工神经网络技术和有关的数据处理、数据库等技术。
Using multi-sensor technology, some parameters affecting the measurement of water content of crude oil are measured, and prediction models of water content of crude oil based on the methods of multivariate nonlinear regression and artificial neutral networks are presented, and then being improved by subsection modeling. 通过多传感器技术对原油含水率测量有影响的多个参量进行测定,提出基于多元非线性回归和神经网络融合处理两种方法建立原油含水率预测模型,并采用分段建模的方法分别进行改进。
Application of Wavelet Analysis and Artificial Neutral Networks to Flaw Classification in Ultrasonic Non-destructive Testing 小波分析和人工神经网络在金属超声无损检测缺陷分类中的应用
The SAS system is adopted to analyze many factors which affected cementing quality. According to main factors, a kind of forecasting model of cementing quality is established by artificial neutral network. 采用SAS系统对影响固井质量的众多因素做相关分析,依据主要因素并通过人工神经网络建立了固井质量预测模型。
In addition, artificial neutral network is applied build the model of the system to realize the location of the space object point. 首先提出了PSD光电定位系统的数学模型,研究了PSD的定位机理,在线性模型的基础上提出补偿算法,另外又应用人工神经网络方法对定位系统建模,实现了对空间目标点的定位。
Therefore, in this section, based on the analysis of artificial neural network model and the indoor location algorithm, the design of genetic algorithm optimized artificial neutral network are proposed. 因此,在此部分中,通过对人工神经网络模型和室内定位算法的深入研究,提出基于遗传算法学习的神经网络设计,并建立遗传神经网络隐层节点的优化模型。
Finally, generalization capability ensured artificial neutral network positioning algorithm which optimized by genetic algorithm is analysed. 第三,提出了基于泛化保障的遗传神经网络定位算法。
Co-integration vectors have been considered as feature samplings. Artificial Neutral Net BP, Hidden Markov Model and Support Vector Machine have been employed relatively to train the sampling and recognize different wear stage. 以不同磨损状态的协整向量为特征,分别用人工神经网络BP、隐马尔科夫和支持向量机模型对其进行训练和辨识。
In order to combine linear and nonlinear method together for HRV analysis, a variety of indices assembly was designed as the feature parameters of artificial neutral network. 因此,为了联合HRV的线性和非线性动力学分析方法,我们设计了多种指标组合来作为人工神经网络的输入特征向量。
Using the utility of green products, comprehensive evaluation based on utility function approach was developed and its models based on BP and RBF artificial neutral network were established. 利用绿色产品的效用特性,建立了基于效用函数逼近的综合评价理论和方法,开发了基于BP和RBF的人工神经网络模型,解决了权重不确定性的影响。