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back propagation algorithm中文是什么意思

  • 倒传递演
  • 反传算法
  • 反向传播算法
  • 回传式学习算法

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  • 例句与用法
  • In this paper , we improve the objective function of back propagation algorithm based on different financial actual situation . change the objective function into the expectation and the variance of error function to make its application more wide
    本文首先基于bp算法应用于金融实务领域的不同,对原bp算法的单一目标函数进行了改进,分别取其期望目标和方差目标,进行了bp算法的推广,使其应用范围更广。
  • In order to override the well - known limitation of back propagation algorithm , such as local grade problem , we suggest genetic algorithm , a global optimization algorithm , to optimize the weights set . the different parts of this model were modularized and combined as a prediction system
    通过对固定网络结构的权系值进行遗传操作,优化网络的权系值组合,快速收敛到最优权系值组合,进而提高网络的分析预测效率和能力。
  • The multiplayer forward neural network and its training algorithm are thorough analyzed , error back propagation algorithm is derived from the mathematic , the problem of bp algorithm is indicated . the improved bp algorithm with many target recognition is constructed
    详细分析了多层前馈型神经网络描述及训练算法机理,从数学的角度推导了误差逆传播算法( bp算法) ,同时指出了bp算法存在的问题。构建了一种用于多目标识别的改进的bp算法。
  • On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system , this paper sets up an adaptive noise cancellation controller based on artificial neural network , which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end , this paper proposes some advices of model and algorithms
    在对基于误差反向传播学习算法的多层前向人工神经网络进行分析基础上,结合传统自适应噪声抵消系统基本原理,建立了基于人工神经网络的自适应噪声抵消器,经基于matlab的simulink仿真实例证明,具有很强的噪声滤除能力和鲁棒性。最后并提出了网络及算法进一步改进的方法。
  • Based upon the deficiencies of the back propagation algorithm in the practical application , after some mechanisms effecting the network training and the other performances are analyzed when training samples with disturbance are employed in training , in this paper , through combining the chief thoughts of the classical bp algorithm and the robust statistic technique , improving the optimal algorithm of the bp algorithm , a new algorithm with high robustness - robust adaptive bp algorithm is proposed , and also make a good effect when integrated this new algorithm with the dynamical bp network to predict the stock price
    本文从基本bp算法在应用中存在的不足出发,着重分析了训练样本中所含噪声对基本bp算法在网络训练过程中产生的不良影响,并以此为依据,采用鲁棒统计技术,同时在优化算法上做了一些有益的改进,提出一种新的具有较强抗干扰能力的bp算法? ?鲁棒自适应bp算法,并将其应用于动态bp网络,进行股票价格的预测,取得了较好的预测效果。
  • Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ) , the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt . then the optimization model of polymerization reaction was presented , which was solved by using simulation annealing algorithm to obtain the best techniques parameters . the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network , brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line
    提出了流程工业生产过程操作优化策略和应用实施方法,包括生产过程离线优化策略、非线性问题求解策略、在线优化模型及学习策略;结合扬州有机化工厂计算机集成制造系统集散控制系统( yh - cims dcs )的实施,针对锦纶? 6浸胶南京理工大学博士学位论文摘要帘于布生产中己内酚胺聚合反应过程优化控制这一工程实际问题,采用统计建模方法,建立了聚合反应过程的优化模型;为求解所得的优化模型,提出了种改进的有约束条件下的模拟退火算法,该算法能避免陷于局部最优解,有效地提高了所求解的全局性和可靠性:提出了基于改进的ga算法和sp算法相结合的混合学习算法,建立了基于神经网络的聚合反应过程生产目标在线预测模型,该算法和模型满足了生产中的实时性和实用性要求。
  • 5 based on studying artificial nerve network theory , establish the nerve network model of cutting parameter . use back propagation algorithm ( bp algorithm ) as system ' s nerve network learning method . system has realized cutting parameter nerve network intelligentized choosing function
    5在深入研究人工神经网络理论的基础上,建立了切削参数选择的神经网络模型,采用误差反传算法(即算法)作为切削参数智能选择的神经网络学习方法,实现了切削参数人工神经网络智能选择功能。
  • Using error back propagation algorithm . the limitation of the bp net is also improved ; 2 > when prediction with little training sample set and large variable size is concemed , this paper abstracts the prime factors from the training sample set using rough set theory , then only inputs the prime factors into ann . this diminishes the size and the input nodes number of ann
    对于即网络本身易陷入局部极小点及收敛速度慢的问题,在文中也得到了改进; 2 、对于财政转移支付中标准收入的测算属于多指标小样本的预测问题,文中首次利用粗集理论对初始的指标体系进行约简,提取出关键性的因素作为神经网络的输入。
  • After researching the application of artificial neural network to fault diagnosis of transformer , the back propagation algorithm is improved observably . inducting chaos dynamics principium to create chaos neural network back propagation algorithm and using the pretreatment of training sample , the emulation program show that this method is effective
    本文深入研究了人工神经网络在变压器故障诊断中的应用,对目前最常采用的bp算法做出了较大改进,在原有算法中引入混沌动力学原理构造了混沌神经网络bp算法,并提出了训练样本集的预处理方法,在仿真训练中取得了满意的效果。
  • On basis of such theory , penman apply back propagation algorithm to estimate a stock - sanxiashuili ( 600116 ) . compare the estimated price with the real price and analyze the reasons , we point out the advantages and the disadvantages of the new method finally and get some satisfying results
    在上述理论基础上,笔者针对一支个股? ?三峡水利( 600116 )利用bp网络建立了这支股票的估价模型,并将这支个股的估计价格和实际价格曲线进行了拟合,在实践上也取得了较满意的结果。
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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT

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