Back-Propagation相关论文
Parallel Implementation of Multilayered Neural Networks Based on Map-Reduce on Cloud Computing Clust
In order to meet the requirements of big data processing,this paper presents an efficient mapping scheme for a fully con......
A Back-Propagation Neural Network (BPNN) was established to predict the daytime variations of HO 2 radical concentration......
In the training of feedforward neural networks,it is usually suggested that the initial weights should be small in magni......
Retrieval of Water Vapor Profiles with Radio Occultation Measurements Using an Artificial Neural Net
本文通过对荣华二采区10...
Application of BPANN in spinning deformation of thin-walled tubular parts with longitudinal inner ri
Back-propagation artificial neural network (BPANN) is used in ball backward spinning in order to form thin-walled tubula......
Optimization of Process Parameters for Cracking Prevention of UHSS in Hot Stamping Based on Hammersl
In order to prevent cracking appeared in the work-piece during the hot stamping operation,this paper proposes a hybrid o......
Artificial neural network modeling of water quality of the Yangtze River system: a case study in rea
An effective approach for describing complicated water quality processes is very important for fiver water quality manag......
Optimization of Process Parameters for Cracking Prevention of UHSS in Hot Stamping Based on Hammersl
In order to prevent cracking appeared in the work?piece during the hot stamping operation, this paper proposes a hybrid ......
Considering the difficulty of creating water quality model for activated sludge system, a typical BP artificial neural n......
Predictive model based on artificial neural net for purity of perovskite-type SrTiO3 nanocrystalline
A three-layer structure back-propagation network model based on the non-linear relationship between the purity of the pe......
本文提出了一种多层神经网络自动生成的新算法。对给定的问题,它能够在学习中动态生成一个多层网络,并确定网络的连接方式。通过采......
The current research mainly focuses on the flow control for the two-stage proportional valve with hydraulic position fee......
本文利用时延神经元网络模型对上证指数作了预测。股价的涨跌预报可视作高维空间的非线性分类问题，本文使用增益可调的反向传播算法......
采用共混法制备镁铝水滑石／聚合物复合材料。选用BP神经网络建模，输入输出神经元分别由制备时工艺参数和预测指标来确定。为了减小振......
给出了一种评价多媒体课件效果的新方法。模型采用了基于认知心理学的评价指标,充分考虑了人的主体地位,同时运用BP神经网络的方法......
城市燃气小时负荷的预测对于保证管网用气量，进行管网的优化调度，设备维修具有极其重要的意义。应用人工神经网络理论和灰色预测理论......
生产总值代表了一个国家的经济增长效应,是衡量国民经济发展情况最重要的一个指标,如果能够对国内生产总值做很好的估计,则对国家......
该文通过对西藏察雅县 10 5层土样资料 (1988年 )建立CaCO3-pH神经网络模型 ,与刘世全等所做的回归模型在拟合精度和预测性能方面......
本文采用计算机仿真的方法,对多层神经网络描述任意有界非线性函数的特性进行了分析和实验验证,并对网络的隐层数和每一隐层的神经......
确定坯料外形是拉深件工艺设计中的一项重要工作。本文应用基于ＢＰ算法的神经网络能较好处理非线性问题的特点，建立起能描述工艺参数（材......
入侵检测技术是解决网络安全的一种有效手段。文中提供一个基于规则和神经网络系统的入侵检测模型。主要思想是利用神经网络的分类......
在标准反向传播神经网络算法的基础上,提出了一种改进的反向传播神经网络算法.通过对每个处理单元增加3个参数来增强作用函数,且3......
文中设计了基于神经网络的测井解释系统,讨论了系统的结构、后传算法以及实现的途径。...
该文把神经网络中的BP(Back—Propagation)网络算法引入到FPN(Fuzzy Petri Nets)模型中,使得FPN具有像神经网络中的BP网络一样的学......
为克服现有神经网络训练算法在建模精度方面的不足，提出了一种专门面向近似建模的前馈网络训练算法——GA—BP贝叶斯算法．该算法以提......
简单介绍了模糊技术和神经网络的关系,并给出了一种利用神经网络技术的模糊控制器的控制方案.应用模糊神经网络技术,将模糊逻辑与B......
本文将多层前向传递神经网络应用于非线性系统控制,通过对神经网络的训练,实现非线性系统的状态反馈控制。本文还介绍了用神经网络......
在检测和诊断模拟电路的故障中，为了解决传统的BP神经网络初始权值和阈值是随机选取的，容易陷入局部最小值，出现不收敛或收敛速度慢的......
洪涝是对人类及社会危害较大的一种自然灾害,洪涝严重影响农业生产和生态平衡,涝灾预测已成为防灾减灾的重要内容。应用BP神经网络......
本文将人工神经元网络的非线性性和信息的分布性用于非线性静态模型的辨识.对化工生产中的缩聚反应过程的辨识结果表明,用人工神经......
Application of BPANN in spinning deformation ofthin-walled tubular parts with longitudinal inner rib
Back-propagation artificial neural network (BPANN is used in ball backward spinning in order to form thin-walled tubular......
经典的BP算法存在陷入局部极小,算法收敛慢的问题。提出了一种改进的BP神经网络算法,在经典BP算法基础上,引入新的参数以调整经典......
Impact of meteorological factors on the incidence of influenza in Beijing: A 35-year retrospective s
Objective:To analyze the impact of meteorological factors on the incidence of influenza based on the Yunqi theory in Bei......
Applying the Artificial Neural Network to Estimate the Drag Force for an Autonomous Underwater Vehic
This paper offer an artificial neural network (ANN) model to calculate drag force on an axisymmetric underwater vehicle ......
通过介绍BP神经网络用于目标识别的基本原理,对目标不完整或不确定数据进行分析、推理。提取空袭目标的速度、高度、机动加速度和......
Approaches to machine intelligence based on brain models use neural networks for generalization but they do so as signal......
Order statistic filters are used often in the applications of science and engineering problems. This paper investigates ......
本文提出一种用于多层前向网络的广义能量约束算法。新的能量函数不仅包括误差平方和项,而且还包括某些能使网络获得所期望的性能......
给出了一种非规则三维数据的曲面拟合方法,该方法给出的网络模型不需要删除奇异数据,从而可以保持数据信息的完整性,此外,该方法给......
Considering the difficulty of creating water quality model for activated sludge system, a typical BP artificial neural n......
The model of back-propagation neural network(BPNN)was presented to demonstrate the effect of restrictive ecological fact......
Optimization of Process Parameters for Cracking Prevention of UHSS in Hot Stamping Based on Hammersl
In order to prevent cracking appeared in the work-piece during the hot stamping operation, this paper proposes a hybrid ......
Broadband power line communication (BPLC) gained a lot of interest because of low cost and high performance communicatio......
In this paper pilot based channel estimation is being considered for broadband power line communication (BPLC) networks ......
Sound Quality Prediction of Vehicle Interior Noise under Multiple Working Conditions Using Back-Prop
This paper presents a back-propagation neural network model for sound quality prediction (BPNN-SQP) of multiple working ......
A nonparametric structural damage detection methodology based on neural networks method ispresented for health monitorin......
精度要求是神经网络硬件实现的一个关键问题，本文提出了一种有限精度的ＢＰ高速算法，通过实例验证，该算法适于低精度，且收敛速度快。......
本文提供了一种比模糊推理更为自然的方式使用人们的经验知识,通过一组神经元不同程度的兴奋表达一个抽象的概念值,由此将抽象的经......
计算机网络是21世纪全球最重要的基础设施之一,随着其规模的日益扩大,计算机网络管理维护工作越来越复杂。网络故障诊断已成为人们......
