BPNN相关论文
预测原油管道运行电耗有助于制定管道能耗目标、输送计划与机组启停方案。原油管道数据存在波动频繁、数据质量参差不齐和影响因素......
高速开关阀以其结构简单、响应速度快、抗污染能力强、稳定性好等优点得到了广泛的应用。水液压高速开关阀的工作介质黏性低，更容易......
电动汽车是一种以动力电池驱动的,清洁、高效的新型车辆,可以实现尾气的零排放,减少对空气的污染。荷电状态（State of Charge,SOC）可......
随着人们对高速数据业务需求的不断增长以及移动通信技术的快速发展,第五代移动通信系统（5G）中的移动数据流量和用户设备（User Equipm......
地源热泵技术由于其节能、环保等优点在国内得到了越来越广泛的应用,对于地源热泵系统的性能研究主要方法有实测数据分析、建立仿......
BP神经网络（BPNN）被广泛称为现阶段最受欢迎的神经网络之一,它是一种监督式学习的网络[1]。BPNN通过学习训练样本输入和输出的关系进......
光伏发电是新兴的清洁能源发电方式之一,其光功率受辐照度等环境因素影响较大,导致注入电网的电量不稳定.采集的环境数据能准确预......
随着HSE体系在石油石化行业的推进,石油特种车辆的人机工程学设计越来越重要,但其中舒适度评价常存在影响因素繁多、难以定量评价......
脆度是反映香梨内部品质的重要指标之一,目前脆度主要检测方式是感官评价,但感官评价人员易疲劳且评价效率较低,评价结果易受主观......
A feasible approach to handle many constraints optimization problems based on Gaussian process frame
Surrogate-assisted optimization algorithm (SAO) is an efficient way to save the time and cost of the evaluation for engi......
Accurate knowledge of the diversity and distribution of the FeO and TiO2 abundances (FTAs) on the lunar surface is of es......
Research on the Cost Estimation of the Floor Structural System in Lateral Railway-Station Building B
Considering the complicated problem of effecting factors of railway station building construction consumption,ISM is use......
本文给出一种量子粒子群(QPSO)算法、改进菌群觅食(IBFO)算法优化反向传播神经网络(BPNN)的混凝投药预测模型,利用量子粒子群的个......
为提高复合磁体材料热处理传统工艺效率、降低研发成本,利用基于MATLAB软件的反向传播神经网络BPNN平台,将材料制备工艺与数学预测......
为提高预测的精度和速度,研究一种基于选择鲸鱼优化算法(selection whale optimization algorithm,SWOA)优化的反向传播神经网络(b......
Parameter sensitivity and inversion analysis of a concrete faced rock-fill dam based on HS-BPNN algo
Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) a......
本文旨在研究儿童青少年肺通气功能预测的后向传播神经网络(backpropagation neural network,BPNN)方法,以期得到更准确的肺通气功......
土壤速效磷是影响作物生长发育的重要养分指标。光谱分析技术具有快速无损等特点,对速效磷的定量预测具有较好的应用前景。高光谱......
Study on correlations of modal frequencies and environmental factors for a suspension bridge based o
By using of long-term monitoring data of Runyang Suspension Bridge,the improved back-propagation neural networks (BPNNs)......
本型文针对非线性电阻网络,提出了一种规范式分段线性化求所有解,并采用BPNN对非线性电阻网络硬故障进行诊断的方法,克服了用一般......
针对海洋(或陆地)环境中目标电磁逆散射问题开展研究,建立了粗糙面上简单导体目标的电磁散射模型,通过精确的电磁散射建模得到散射......
Simulation Study of SVM-Based Approach in Extracting Parameters for Electromagnetic Detection of Bur
In this paper,a new method for extracting the parameters of buried object is proposed.The center position and dielectric......
In this article,a new effective method of cooperative modulation recognition (CMR) is proposed to recognize different mo......
对岩石物理学家而言,利用测井资料对储层渗透率进行估算是项艰难的工作。许多研究已经表明:由于逆向传播神经网络(BPNN)具有学习和......
In order to apply Satellite Remote Sensing (RS) to mining areas, some key issues should be solved. Based on an introduc......
为了快速并无损地检测成年橡胶树叶片的氮素含量,使用近红外光谱检测技术获取叶片的光谱数据,采用多元散射校正(MSC)对光谱数据预......
受诸多因素的影响,径流时间序列具有非线性和混沌特征。单一的BPNN模型可以进行径流的中长期预测,但存在对径流影响因素量化不够的......
在社会经济快速发展的形势下,随着电力企业建设的不断推进,电力行业的规模日趋扩大,而电能又是难以长期大量储存的能源,对短期内电......
目的 分析基于奇异谱分析(singular spectrum analysis,SSA)的自回归移动平均模型(Autoregressive integrated moving average,ARI......
可见-近红外光谱技术是检测土壤有机碳含量的高效方法。模型的精度与模型的传递能力是目前可见-近红外光谱检测技术应用发展中存在......
Land evaluation factors often contain continuous-,discrete- and nominal-valued attributes. In traditional land evalu- at......
Study on the echinococcosis blood serum detection based on Raman spectroscopy combined with neural n
A Raman spectroscopy method combined with neural network is used for the invasive and rapid detection of echinococcosis.......
This paper aims at modeling and developing vibration control methods for a flexible piezoelectric beam. A collocated sen......
系统研究了核磁共振碳谱及其化学位移规律性．提出了一种新的分子图论参数：分子距离-边数矢量（λ矢量），并发现了它与烷烃的(13)CNMR有良......
Application of Near Infrared Diffuse Reflectance Spectroscopy with Radial Basis Function Neural Netw
Partial least squares(PLS),back-propagation neural network(BPNN)and radial basis function neural network(RBFNN)were resp......
以86个离子化合物的正、负离子的有效核电荷Z~(*+)、Z~(*-)、离子半径r_+、r_-,以及正离子的荷径比Z~(*+)/Υ_+5种结构参数作为自......
Novel predictive model for metallic structure corrosion status in presence of stray current in DC ma
The novel method to analyze metallic structure corrosion status was proposed in the presence of stray current in DC mass......
针对现有核磁共振测井渗透率模型对孔隙结构复杂的致密砂岩储层预测精度不高的问题,在分析误差反向传播神经网络的缺陷后,提出了一......
Random numbers play an increasingly important role in secure wire and wireless communication. Thus the design quality of......
The accurate and real-time prediction of network security situation is the premise and basis of preventing intrusions an......
针对可控受限的多变量耦合系统,采用改进BP算法,基于BP神经网络建立了多变量炉温控制系统的神经网络预测模型.仿真结果表明,BP神经......
神经网络及神经计算的新理论、模型、方法及应用受重视,并用于解决某些诸如模式识别、组合优化、语言理解等复杂问题,得到系列可喜......
业已将神经网络友传模型BPNN及其改进算法用于分析校正、多元分析、模式识别、构效关系、有机会成、定量预测等方面，本文简述其应用......
目的:探讨肺癌CT诊断中应用模糊神经网络辅助诊断的效果。方法:选取2012年1月-2013年12月远安县人民医院收治的60例肺癌患者,同时......
A local minimum is frequently encountered in the training of back propagation neural networks (BPNN), which sharply slow......
主要讨论了在谷物纹理识别中对神经网络的优化。通过比较优化神经网络和非优化神经网络的输入、输出之间的非线性联系 ,可知优化神......
