改进的BP神经网络属性选择方法,IBNM英语短句,例句大全

改进的BP神经网络属性选择方法,IBNM
1)IBNM改进的BP神经网络属性选择方法

英文短句/例句

1.Improved BP neural network feature selection method一种改进的BP神经网络属性选择方法
2.Research on the Selection Method of Software Metrics Based on BP Neural Networks in the Process of Software Quality Prediction;软件质量预测中基于BP神经网络的属性选择方法研究
3.The Method of Diversification Strategy Choice Based on BP Neural Network;基于BP神经网络的多元化战略选择方法研究
4.An improved algorithm of BP ANN based on membership function基于隶属度函数的BP人工神经网络改进算法
5.Stock Price Forecasting Model of Improved BP Neural Network;基于BP神经网络股价预测的一种改进方法
6.An improve BP neural networks for forecasting electricity price Based on chaos;基于混沌与改进BP神经网络的电价预测方法
7.An Improved BP Neural Network in the Railway Freight Volume Forecast;铁路货运量预测的改进BP神经网络方法
8.Data Compressions Methods Based on Modified Algorithm of BP Neural Network基于BP神经网络改进算法的数据压缩方案
9.A License Plate Character Recognition Method Based on Improved BP Neural Network一种改进BP神经网络的车牌字符识别方法
10.Based on BP Neural Network Kalman Filter Algorithm Improvement;基于BP神经网络的Kalman滤波算法的改进
11.Research on BP neural networks based on improved artificial fish-swarm algorithm基于改进AFSA算法的BP神经网络的研究
12.Study on Improved Algorithm and Application of BP Neural NetworkBP神经网络的算法改进及应用研究
13.Improvement and Application of BP Neural Network Forecasting AlgorithmBP神经网络预测算法的改进及应用
14.Discussion on the Limitation and Improvement of BP Neural NetworkBP神经网络局限性及其改进的研究
15.Research on the Selection of Software Reliability Model Based on BP Neural Network;基于BP神经网络的软件可靠性模型选择研究
16.Fault diagnosis of rotor based on improved models of resilient back-propagation neural network基于改进弹性BP算法神经网络转子故障诊断
17.Image filtering based on modified BP neural network and PSO基于改进BP神经网络和粒子群优化算法的图像滤波方法的研究
18.Research of Manufacturing Process Resource and Environmental Attributions Diagnosis Methods Based on BP Neural Networks基于BP神经网络的制造过程资源环境属性诊断的方法研究

相关短句/例句

improved BP neural network改进的BP神经网络
1.As artificial neural network method not only possesses ability of self-taught, self-organized and high non-linear mapped, but also can consider both quantitative and quanlitative factors, based on improved BP neural network, a lot of neural network models are established to predict parameters of surfac.利用大量的地表移动实际观测数据样本对该网络模型进行训练和学习,并用该网络模型对地表移动参数进行预计,结果表明,该改进的BP神经网络具有收敛速度快、预计参数精度高的优点,从而为开采沉陷地表移动预计中参数的选取提供了新方法。
2.On the basis of the gray prediction models(the equidistant gray model,the non-equidistant gray model,the optimized gray model) and the improved BP neural network models(the gradient descending algorithm of having momentum and Levenberg-Marquardt algorithm),the mechanical characteristics of the concrete-lined shaft wall are predicted.1作为预测预报软件开发工具,采用灰色预测模型(等距灰色模型、非等距灰色模型、优化灰色模型)及改进的BP神经网络预测模型(有动量的梯度下降法、Levenberg-Marquardt算法)对混凝土井壁结构的受力状态进行预测。
3)Improved BP nerve network改进的BP神经网络
1.Improved BP nerve network, adopting the momentum method and study velocity from orientation, was applied to the fault diagnosis of the fan.根据风机的故障诊断特点,确定神经网络的结构与参数,并制作了相应的故障诊断界面,最后通过风机的故障诊断实例表明:改进的BP神经网络提高了学习速度,有效地抑制了网络陷于局部极小,缩短了学习时间,是风机故障诊断的有效方法。
2.As for the deficiency of BP network, this paper suggests an improved BP nerve network model which can serve in breakdown diagnose of tubine generator set.就BP网络的不足,提出了一种改进的BP神经网络模型,用于汽轮发电机组故障的诊断。
4)improved BP-NN model改进的BP神经网络模型
1.This paper puts forward the improved BP-NN model and sums up the most affecting settlement factor of highway soft foundation.通过对模型的建立、训练和验证,以及与其他方法的对比表明,改进的BP神经网络模型在非线性建模方面具有泛化性强、计算精度高、操作简便的独特优势,具有广阔的工程应用前景。
5)improved BP neural network改进后的BP神经网络
1.In this paper, an improved BP neural network is proposed for the structural damage diagnosis.采用改进后的BP神经网络对桥梁结构进行损伤诊断,通过与传统BP网络法的诊断结果进行对比,得出改进后的BP网络算法在实际应用中能克服传统BP网络算法收敛速度慢,存在局部极小的问题。
2.An improved BP neural network is proposed for the structural damage diagnosis.采用改进后的BP神经网络对桥梁结构进行损伤诊断,通过与传统BP网络法的诊断结果进行对比,得出改进后的BP网络算法在实际应用上能克服传统BP网络算法收敛速度慢,存在局部极小的问题。
6)modified BP neural network改进BP神经网络
1.A new expressway ramp OD matrix estimation model was presented based on the modified BP neural network in order to deal with the deficiency of the hypothesis that each vehicle remaining on line moved off the freeway with the same probability.针对高速公路出入口OD矩阵推算方法中假设每一留线车辆以等概率驶离高速公路的不足,提出了基于改进BP神经网络的高速公路出入口OD矩阵推算模型,并设计了OD推算神经网络。