前馈网络的英文

• feedforward network

• "前"英文翻译    front
• "馈"英文翻译    make a present of
• "网络"英文翻译    network; electric network me ...
• "反馈网络" 英文翻译 :    fn feedback network
• "负反馈网络" 英文翻译 :    negative feedback network
• "稳定反馈网络" 英文翻译 :    stabilizing feedback network
• "前馈" 英文翻译 :    feed forward; feed-forward=feedforward; front feed
• "多层前馈人工神经网络" 英文翻译 :    mlffann
• "向前馈送，前馈" 英文翻译 :    feed forward
• "风前馈" 英文翻译 :    forward wind feed
• "前馈的" 英文翻译 :    feedforward
• "修改前馈, 调整前馈" 英文翻译 :    modifying feedforward
• "补偿前馈" 英文翻译 :    compensating feedforward; compensatingfeedforward
• "调频前馈" 英文翻译 :    fmff frequency modulation feed forward
• "复合前馈" 英文翻译 :    compounding feedforward
• "前馈补偿" 英文翻译 :    feedforward compensation
• "前馈促进" 英文翻译 :    feedforward stimulation
• "前馈电路" 英文翻译 :    feed forward circuit
• "前馈反馈器" 英文翻译 :    front fed reflector
• "前馈活化" 英文翻译 :    feedforward activation
• "前馈激活" 英文翻译 :    feed-forward activition
• "前馈纠错" 英文翻译 :    fec feedforward error correction
• "前馈矩阵" 英文翻译 :    feedforward matrix
• "前馈控制" 英文翻译 :    feed forward control; feedforword control
• "前馈控制器" 英文翻译 :    feedforward controller

• Case - base maintenance based on covering algorithm and mfnn
  基于覆盖算法与多层前馈网络的案例库维护
• At the same time , the simulations show the effectiveness and robustness of this scheme
  本论文集中利用了多层前馈网络mnns来进行控制器设计和分析。
• A coupled exercise algorithm of forward neural network combined with gradient search and chaotic optimization search b ased on rules and its application
  前馈网络的混沌梯度搜索耦合学习算法及应用
• A universal incremental - learning method is presented with regenerating instances to represent all the previous information stored in the net by using the information on the structure and weights
  本文利用前馈网络的结构与权值信息重新生成样本来代表学习过的旧样本，提出了一种新的通用增长学习算法。
• The identification and verification of the actuator are completed by using bp neural network . the reliable model of rera can be set up , so the more foundation theories can be studied
  本文正是基于此，利用bp算法的多层前馈网络的自学习能力，来完成对传动机构的识别和验证，从而建立可靠的波纹式电流变传动机构模型，方便进一步的基础理论研究。
• The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range . based on upwards analysises , relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments , blast parameters , landform physiognomy , blast methods . and taking the practical data from blast scene as the sample , the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness , the regress analysis method and experience formula method , which supply the technology gist for
  并且,以爆破现场的实测数据为样本,采用基于爆破震动强度先验知识的前馈网络神经模型、回归分析法及经验公式法分别对爆破震动强度进行了预测研究,为爆破施工参数的确定提供了技术依据,确保整个爆破工程顺利安全进行,并对这三种方法的预测结果进行了对比分析;对比分析表明,三种预测方法计算出来的结果精度相差甚大,从检验样本值与预测结果值之间的相对误差可以看出,人工神经网络法预测的结果较其他方法更接近于实际值,回归分析预测法的精度又要高于经验公式预测法。
• 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。
• For example , firstly , the bam neural network is used to recognize the vehicle style , the trains of thought is concise , the learning is simple , rapid , the method is feasible secondly , color edge detector colorprewitt is used to locate the vehicle license plate with high location ratio
  一、提出利用bam神经网络识别车型，比用前馈网络识别，学习速度快，收敛速度快，同时克服简单几何特征识别车型时容易引起混淆的问题。二、利用彩色图像边缘检测算子对牌照区域进行定位，定位准确，提高总体识别率。