人工神经网络BP模型,neural network BP model
1)neural network BP model人工神经网络BP模型
1.This paper gives an approach on quantitatively forecasting catchment sediment yield withneural network BP model.引入人工神经网络BP模型对流域产沙进行了定量预测。
英文短句/例句
1.Application of BP Artificial Neural Network Model base on excel technology基于Excel技术平台人工神经网络BP模型及应用
2.ANN-Based Metallogenic Prognosis Model基于BP人工神经网络的成矿预测模型
3.A Study on the Environmental Quality Assessment Model Based on BP Artificial Neural Networks;基于BP人工神经网络的环境质量评价模型研究
4.Constitutive relationship model of TC21 alloy during superplastic deformation based on BP artificial neural networkTC21合金超塑性本构关系的BP人工神经网络模型
5.The Establish of the Mathematic Model of Artifical Neural Network and the Realization of BP Network for Metallogenic Prognesis;人工神经网络的数学模型建立及成矿预测BP网络的实现
6.Neural networks modeling of project estimate for small and medium-size water projects;中小型水利工程的工程量估算BP神经网络模型
7.Study on Comprehensive Evaluation Model of the Competence of the Staff Based on BP Artificial Nerve Network;基于BP人工神经网络的企业人员素质综合评价模型研究
8.Establishment and Application of Early-Warning Models of Agricultural Product Price Risks--Based on BP Artificial Neural Network;农产品价格风险预警模型的建立与应用——基于BP人工神经网络
9.Corrosion rate prediction model of carbon steel in regional soil based on BP artificial neural network运用BP人工神经网络方法构建碳钢区域土壤腐蚀预测模型
10.BP Neural Network Model on Risk Analysis of Floating Tunnel Construction;水中悬浮隧道施工风险分析的BP神经网络模型
11.THE STUDY ON BP NEUTRAL NET MATHEMATIC MODEL OF INTEGRATED A_mO_n PROCESS一体化A_mO_n工艺BP神经网络数学模型研究
12.Identify Danger Source in Tunnel Construction by Using BP Neural Network Model利用BP神经网络模型辨识隧道施工的危险源
13.A Model for Geotechnical Engineering Monitoring Based on BP Neural Networks基于BP神经网络的岩土工程预测模型研究
14.Study and Application of Population Forecast Model Basedon BP Neural Network;基于BP神经网络人口预测模型的研究与应用
15.Enterprise human resource allocation model based on BP neural network基于BP神经网络的企业人力资源配置模型研究
16.The Forecast of China Population Based on Grey System Theory and BP Neural Network基于灰色BP神经网络的中国人口预测模型
17.Prediction Model of Population in Fuzhou City Based on BP Neural Network基于BP神经网络的福州市人口预测模型
18.Research and Application of BP Neural Network Model Optimization;BP神经网络的模型优化研究及应用
相关短句/例句
BP Artifical Neural Network ModelBP人工神经网络模型
1.The AR(Autoregressive Model)and theBP Artifical Neural Network Model are respectively used to predict the mean daily discharge of Ertan Hydropower Station herein.分别利用分期平稳自回归模型———AR模型(Autoregressive Model)和BP人工神经网络模型(Back Propagation ArtificalNeuralNetwork Model)对二滩水电站的日平均流量序列进行了预测。
3)BP artificial neural networkBP人工神经网络
1.Calculation of thixotropic stress of waxy crude oil byBP artificial neural network;基于BP人工神经网络的含蜡原油触变应力计算
2.Application ofBP artificial neural network model in forecast of quantity of precipitation;降水量的BP人工神经网络预测模型及其应用
3.Dividing of Soil and Water Loss Grade with BP Artificial Neural Network;应用BP人工神经网络技术划分水土流失等级
4)BP ANNBP人工神经网络
1.Whole Stand Growth Model for Natural Dahurian Larch Forests Based onBP ANN;基于BP人工神经网络的兴安落叶松天然林全林分生长模型的研究
2.ANALYSIS ON EPIKARST SPRING WITHBP ANN IN LUOTA,HUNAN PROVINCE;湖南洛塔干河猪场表层岩溶泉BP人工神经网络分析
3.ANALYSIS OF WUYANDONG SUBTERRANEAN STREAM SYSTEM BYBP ANN IN LUOTA,HUNAN;湖南洛塔屋檐洞地下河系统BP人工神经网络分析
5)BP neural networkBP人工神经网络
1.BP neural network based on MATLAB 6.x的BP人工神经网络工具箱进行了简要的介绍,并将BP人工神经网络应用到土壤环境质量现状评价中,编制了基于MATLAB6。
2.The 4- 7- 2 nonlinear model was found byBP neural network with four components used as input data and the index of coat performance as output data, and the experimental results were trained and forecasted.以CrO3 ,H3 BO3 ,锌粉和还原剂 4种组分作为输入数据 ,以涂层性能指标作为输出数据 ,采用 4 - 7- 2层结构 ,建立BP人工神经网络建立非线性模型 ,分别训练和预测了试验结果 ,同时以关联度的大小顺序为依据 ,分别拟合了各组分对涂层性能指标的影响曲线。
3.The diagnosis of complex pressure fault with a large variety of information was attained by using the ability forBP neural network to synthesize and classify a large variety of information.利用BP人工神经网络的多信息综合能力和分类能力 ,实现了多信息复杂压力故障的诊断 ,并获得了用BP算法训练网络的一些实际体会及方法。
6)BP-ANNBP-人工神经网络
延伸阅读
神经网络BP算法分子式：CAS号：性质：它是D.Rumellart等人提出的一个监督训练多声能神经网络的算法，每一个训练范例在网络中经过两遍传递计算：一遍向前传播计算，从输入层开始，传递各层并经过处理后，产生一个输出，并得到一个该实际输出和所所需输出之差的差错矢量；一遍向反向传播计算，从输出层至输入层，利用差错矢量对权值进行逐层修改。BP算法有很强的数学基础，戏剧性地扩展了神经网络的使用范围，产生了许多应用成功的实例，对神经网络研究的再次兴起过很大作用。
