反传算法的英文

• back propagation algorithm
• backpropagation algorithm

• "反"英文翻译    reverse side
• "传"英文翻译    commentaries on classics
• "算法"英文翻译    algorithm
• "误差反传算法" 英文翻译 :    error back propagation algorithm
• "遗传算法" 英文翻译 :    genetic algorithms （ga）; genetic analysis
• "元遗传算法" 英文翻译 :    meta genetic algorithm
• "并行遗传算法" 英文翻译 :    parallel genetic algorithm pga; parallelgeneticalgorithm,pga; pga
• "很乱遗传算法" 英文翻译 :    messyga,mga
• "混合遗传算法" 英文翻译 :    hybrid genetic algorithm hga
• "基本遗传算法" 英文翻译 :    simple genetic algorithm sga
• "凌乱遗传算法" 英文翻译 :    messy ga mga
• "模糊遗传算法" 英文翻译 :    fuzzy genetic algorithm
• "巨并行遗传算法" 英文翻译 :    massively pga; massivelypga
• "模糊控制遗传算法" 英文翻译 :    fcga
• "伪并行遗传算法" 英文翻译 :    ppga
• "遗传算法欺骗问题" 英文翻译 :    ga deceptive problem
• "粗粒度并行遗传算法" 英文翻译 :    coarse-grained pga; coarse-grainedpga
• "神经网络与遗传算法" 英文翻译 :    neural networks & genetic algorithms
• "细粒度并行遗传算法" 英文翻译 :    fine-grained pga; fine-grainedpga
• "遗传算法优化工具箱" 英文翻译 :    gaot
• "自适应退火遗传算法" 英文翻译 :    aaga
• "基于最优潮流的实时电价及其遗传算法实现" 英文翻译 :    calculation of spot price based on optimal power flow solved by genetic algorithm
• "反传球" 英文翻译 :    reverse pass
• "遗传算子" 英文翻译 :    genetic operators
• "反传播模型" 英文翻译 :    depropagation model

• Back propagation algorithm
  反传算法
• Design of on - line learning based error back propagation algorithm in simulation servo system
  基于在线学习误差反传算法的仿真伺服系统设计
• Chapter 4 presents an error back propagation algorithm with quadratic momentum of the multilayer forward neural networks that will speed up the error convergence velocity
  本文提出一种带二次动量项的多层前向网络误差反传算法，提高了神经网络的误差收敛速度。
• Feature extraction through 2 - order polynomial fit of the descending part of the response curve made possible a timesaving measurement process . the performances of two pattern recognition algorithms , namely principal component analysis ( pca ) and linear discriminant analysis ( lda ) in practical problems were discussed . artificial neural network ( ann ) was utilized with back - propagation algorithm ( bpa ) , and the combination of pca / lda with ann improved the identification performance of the system
  基于对模式识别系统的深入研究，提出了从响应阶段数据提取特征的方法，节省了测试所需时间；比较了主成分分析法( principalcomponentanalysis , pca )与线性判别式法( lineardiscriminantanalysis , lda )两种模式识别方法在实际应用中的不同结果，分析了原因；设计了采用误差反传算法back - propagationalgorithm , bpa )的前向人工神经网络( artificialneuralnetwork , ann ) ，并指出其应用中存在的问题，提出了改进建议；利用pca lda与ann相结合的方法改善了系统的识别性能。
• 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。
• The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks , guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms , meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system
  仿真结果表明遗传算法能够快速稳定地学习神经网络，保证全局收敛西安理工大学硕士学位论文并且能够克服传统误差反传算法的一些缺点，也证明了这种神经网络自适应控制结构可以有效解决系统中存在的控制难题，同时编程容易，便于在实际系统中应用。
• The forward calculation of control signal and back - propagation of network - weight modification equations are given , along with the principle to specify the initial net - weight values . the output of the network is set with limit . simulation shows turbine controlled with the n - pid governor can achieve good static and dynamic characteristic
  推导出了n - pid控制器的前向算法和反传算法，讨论了n - pid网络权重初值的确定和对输出进行限幅的处理，在对使用n - pid控制器的水轮机调节系统所作的仿真实验中，获得了良好的动态和静态性能。