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- The acid rain time series was used as the basis of training for generating input data and expectations of output data, and establishing time series neural network forecasting model. 摘要使用酸雨时间序列作为训练样本的基础，生成训练样本输入数据和期望输出数据，建立时间序列神经网络预测模型。
- Artificial Neural Network Forecast Model for Slope Deformation of Large-Scale Dry-Dock 大型干坞边坡变形及其神经网络预测模型
- neural network forecast model 神经网络预测模型
- In allusion to the non-linear and complex character in EDM,an effect forecast model is established based on artifical neural network. 针对电火花加工非线性及复杂性的特点,提出了基于遗传神经网络的电火花加工效果的预测模型。
- Based on the ELMAN neural network, and the method of relevant station history data, a flow difference value forecast model was built. 摘要利用ELMAN神经网络，采用相关站点历史数据逼近的方法，建立了流量差值预测模型；
- On the basis of brief introduction of the principle and algorithm of genetic neural network, the forecast model is applied to the monitoring data of tangential horizontal displacement, radial horizontal displacement and settlement of a dam. 在简要介绍遗传神经网络的基本概念及学习步骤的基础上,分别对大坝坝顶径向水平位移、切向水平位移和大坝坝顶沉降量监测数据进行了训练和预测。
- Based on this,forecast model for slope stability was studied by multivariate linear regression and BP neural network methods,and the results were compared with those by limit equilibrium method. 在此基础上,分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型,并将其结果与极限平衡分析方法进行对比。
- Rong Yajun, Dou Chunxia, Yuan Shiwen.A design of fuzzy neural network forecast controller on superheat temperature[J].Proceedings of the CSEE, 2003, 23(1): 177-180. [8]荣雅君;窦春霞;袁石文.;过热汽温模糊神经网络预测控制器的设计[J]
- The researchful aim of this paper is to establish an effective and practicable forecast model in weaving processing based on BP neural network and the data sets collected from a wool worsted mill. 为了建立毛精纺织造过程的实际预报模型,采用BP神经网络模型和企业所提供的数据,并给出了实验验证。
- A RBF network forecasting model for wear rate is built with a workbox of artificial neural network.Results are shown as the following: 1. 针对二硅化钼材料的磨损，利用MATLAB神经网络工具箱，以温度、载荷、转速为影响因子，以磨损率为输出，建立了一个径向基神经网络模型。
- Forecast Model Study Based on Fuzzy Neural Network 模糊神经网络预报模型的研究
- To make perdition in an effective way, power load forecasting model based on BP neural network is established. 在此基础上,为了对河北省南部电网月用电量进行有效的预测,建立了BP神经网络的负荷预测模型。
- Comparing the result of neural network forecast with that of numerical simulation, fracture time forecasted by the artificial neural network is precise and reliable. 最后将神经网络预测结果与数值计算结果对比,认为应用人工神经网络对立井井筒破裂时间的预测比较准确、实用。
- In order to reveal the evolutionary law of RCE time series process, a forecasting model with the wavelet transform and the BP neural network combined together is established. 为研究参考作物腾发量在时间尺度上的分布规律，提出了一种基于小波变换与人工神经网络相结合的参考作物腾发量预测模型。
- After the thoroughly study of the BP neural network, gray systematic theory and SVM, aiming at their insufficiencies, new methods are raised and new forecasting model is created. 本论文通过对BP神经网络、灰色系统理论和支持向量机的深入研究，针对其中的不足，提出了新的解决方法，建立了新的预测模型。
- The model not onlyovercomes the shortage that timing series forecasting model just can do linear forecast，but also averts the disfigurements oftradition neural networks. 该模型不仅克服了时间序列预测模型只能进行线性预测的不足，而且还避免了传统神经网络的固有缺陷。
- Forecast Model of Macro-Economy Based on Artificial Neural Network 基于人工神经网络的宏观经济预测模型
- Keywords neural network;coal selfignition;forecast model; 神经网络;自然发火;预测模型;
- During the investigation, the original data arc preprocessed to meet the requirements of the study in BP neural network, and a taxation forecasting model based on BP neural network is established. 首先对初始数据进行预处理，使其适应BP神经网络学习的要求，然后建立基于BP神经网络的税收预测模型。
- According to the nonlinear characteristics of sliver evenness,a local linear forecasting method and a global neural networks forecasting method were given to predict a segment of sliver evenness. 根据纱条不匀存在着的非线性、时变性和不确定作用关系,应用局域线性预测法和全局神经网络预测法进行了预测分析。
