error back propagation algorithm中文是什么意思

• 误差反传算法

• "error"中文翻译    n. 1.错误；失错。 2.谬见，误想；误信；误解。 3 ...
• "back"中文翻译    n. 1.背，背部；背脊；背面，反面；背后，后部，后面， ...
• "algorithm"中文翻译    n. 【数学】算法；规则系统；演段。
• "back propagation algorithm" 中文翻译 :    倒传递演; 反传算法; 反向传播算法; 回传式学习算法
• "bpa back propagation algorithm" 中文翻译 :    反向传播算法
• "propagation algorithm" 中文翻译 :    繁衍算法
• "error propagation" 中文翻译 :    差错传播; 错误传播; 误差传递
• "propagation error" 中文翻译 :    传播[分布]误差; 传播误差
• "propagation of error" 中文翻译 :    误差传播; 误差传递; 误差的传播; 误差的传递
• "back propagation" 中文翻译 :    后向传播，反向传播
• "sequential propagation algorithm" 中文翻译 :    顺序繁衍算法
• "error propagation limiting code" 中文翻译 :    错误传播受限码
• "law of error propagation" 中文翻译 :    误差传播定律
• "light beam propagation error" 中文翻译 :    光束传播误差
• "b back propagation" 中文翻译 :    反向传播
• "back propagation network" 中文翻译 :    反传网络
• "back-propagation network" 中文翻译 :    倒传递网络; 反传网络
• "back-propagation neutral network" 中文翻译 :    倒转神经网络
• "bpn back propagation net" 中文翻译 :    误差逆传搬学习
• "error correcting parse algorithm" 中文翻译 :    纠错分析算法
• "back track algorithm" 中文翻译 :    回溯算法
• "back-track algorithm" 中文翻译 :    回溯算法
• "fast-back algorithm" 中文翻译 :    快返回算法
• "slow back algorithm" 中文翻译 :    慢返回算法
• "slow-back algorithm" 中文翻译 :    慢返回算法

• 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 four details the basis of the modeling of the thesis - - error back propagation algorithm , or bp , which is the stress of the thesis
  2005年4月末,金融机构个人贷款余额达到27043亿元,比上年同期增长了57 % ,呈现了快速发展的态势。
• 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。
• In the stage of training , nntcs applies labeled documents to ann for training , and the error back propagation algorithm ( bp ) is employed to adjust weights of the networks . after training , the final fixed weights are saved as knowledge of classification
  在文本训练的时候，利用标记好的训练文档集进行网络训练，误差反馈算法对网络进行权值调整，得到固定的权值作为分类知识存储。
• 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。
• 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。
• 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。
• Neural network control is an important mode of intelligent control , and it is widely used in branches of control science , , first , the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially , the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next , before introducing the neural network control to the double close loop dc driver system , the controllers of current and velocity loop are designed using engineering design approach after analysis of the system , , simulation models of the system are created
  神经网络控制是智能控制的重要方式之一，它广泛应用于自动控制学科各个领域。本文首先叙述了控制系统中常用的多层前馈网络结构及算法( bp算法) ，特别提及了能够较好描述系统动态性能的对角递归神经网络和在用递推预报误差算法训练drnn时取得了较快的收敛速度。其次，应用工程方法分析设计了tf - 1350糖分离机的电流、转速双闭环直流调速系统的控制器，作为引入神经网络控制的设计基础，并建立了系统的仿真模型。
• Firstly , on the basic of normal error back propagation algorithm ( bp a1gorithm ) , the model was added the inertia impulse item in the updating formula for weight , and then let learning rate and inertia parameter adjust ll self - adaptively , so the improved bp algorithm ( improved bp algorithm , ibp algorithm ) formed
  首先，该模型在误差反向传播算法( bp算法)的基础上，在网络权值更新公式中添加惯性冲量项，并对学习率和惯量因子进行自适应调整，从而形成bp改进算法( improvedbp算法，简称ibp算法) 。

• error back propagation algorithm 意味
• error back propagation algorithmとは意味《コ》誤差逆伝搬法｛ごさ ぎゃく でんぱん ほう｝