动量法的英文

• activity level method
• momentum method

• "动量"英文翻译    momentum; quantity of motion
• "法"英文翻译    law
• "最大劳动量法则。" 英文翻译 :    parkinson's law
• "动量" 英文翻译 :    [物理学] (运动物体的质量和速度的乘积) momentum; quantity of motion 广义动量 generalized momentum; 物体下落增进动量。 a falling object gains momentum as it falls. 旋转的陀螺正在失去动量。 the spinning top was losing momentum
• "量法" 英文翻译 :    magnitude method
• "摆动量" 英文翻译 :    amount of ecentricity; oscillating quantity
• "变动量" 英文翻译 :    amount of change
• "波动量" 英文翻译 :    fluctuating quantity
• "初动量" 英文翻译 :    initial momentum
• "磁动量" 英文翻译 :    magnetic momemt
• "窜动量" 英文翻译 :    play
• "电动量" 英文翻译 :    electrokinetic momentum
• "动动量" 英文翻译 :    kinetic momentum
• "动量场" 英文翻译 :    momentum field
• "动量矩" 英文翻译 :    twist; moment of momentum◇动量矩定理 moment of a momentum theorem
• "动量流" 英文翻译 :    flow of momentum
• "动量谱" 英文翻译 :    momentum ectrum; momentum spectrum
• "动量球" 英文翻译 :    momentum here; momentum sphere
• "动量序" 英文翻译 :    momentum order
• "动量轴" 英文翻译 :    axis of momentum
• "浮动量" 英文翻译 :    floating quantum
• "滑动量" 英文翻译 :    slippage
• "活动量" 英文翻译 :    activity content
• "基动量" 英文翻译 :    groumoment
• "角动量" 英文翻译 :    angular momentum; moment of momentum; twist◇角动量定律 angular momentum law; 角动量守恒 conservation of angular momentum; 角动量守恒定理 law of conservation of angular momentum; 角动量算符 angular momentum operator; 角动量原理 principle of angular momentum; 角动量轴 axis of angular momentum

• In addition , the moment method is introduced to form the moment anfis
  此外,引入神经网络中的动量法,构造动量递阶anfis 。
• The program realization and numerical calculation of the concrete calculating examples can testify the efficiency and feasibility of the best perturbation method to solve the problems of the kinds
  通过对具体算例的程序实现和数值计算，并结合形象化的图表和图形，验证了最佳摄动量法解决此类问题的有效性和可行性。
• In order to solve the bp neural network " s inherent deficiency of slowly converging and easily falling into local minimum , we propose to use an algorithm combined self - adapting learning rate and extra momentum
  为了克服bp网络在学习训练过程中收敛速度慢、容易陷入局部极小的不足，本文采用了自适应的学习速率和附加动量法。
• 2 . research on learning control with distal teacher of chaotic dynamical system . analyzed the characters , limitations and application of bp nn , prompted a kind of unproved method , that is additive - momentum - method bp nn
  从系统辨识的角度分析了反向传播神经网络在系统辨识过程中的特点、存在的缺陷及其应用，并对其进行了改进，进一步提出了附加动量法的自适应反向传播神经网络算法。
• 4 . when the regular bp neural network is used , it may have poor performance because of bad convergence . so we choose improved bp neural network as classifier , which combines momentum and adaptive learning rate , and improve the learning and recognition efficiency
  针对标准的bp神经网络常因收敛速度太慢而影响求解质量的问题，我们选用动量法和学习率自适应调整相结合的改进的bp神经网络作为分类器，从而提高了学习速度和识别率。
• Proposed a kind of method that is improved back propagation neural network . a neural network controller is designed . the tracking control of hybrid system is realized by model prediction and feedback correct of neural network control
  改进了传统的反向传播神经网络，提出附加动量法的自适应反向传播神经网络算法，并设计了混杂系统的神经网络控制器， ‘通过神经网络控制的模型预测与反馈校正构成闭环控制系统，实现了混杂系统的跟踪控制。
• In this paper , for proving the efficiency of the best perturbation method in getting the parameter of partial differential equations , the parameter inverse problem of one dimensional wave equation is studied based on the best perturbation method , so as to obain the numerical method to the problems of the kinds
  摘要为了验证最佳摄动量法在偏微分方程参数反演中的有效性，基于最佳摄动量法研究了一维波动方程参数反问题，得出了此类问题的数值解法。
• Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory . in the fault diagnosis applying neural network theory , six kinds of improved arithmetic of back - propagation arithmetic , including gradient descent with momentum , variable learning rate back - propagation , resilient back - propagation , quasi - newton , levenberg - marquardt and conjugate gradient , are applied to diagnose the faults of electric load manage center and solid state power controller . different diagnostic results gotten by simulation are compared at last
  在基于专家系统的故障诊断方法中，采用了产生式知识表达和正向推理机制；在基于神经网络的故障诊断方法中，则分别采用了bp神经网络的附加动量法、自适应学习速率、弹性bp算法、拟牛顿法、共轭梯度法和levenberg - marquardt法对电气负载管理中心和固态功率控制器的故障进行诊断，并对由仿真得到的不同诊断结果进行比较。
• Some prediction methods were discussed , which include neural network , sequence pattern mining etc . some improvements have been applied to basic bp neural network , which can improve its convergence rate and accuracy . during the feature extaction of sequence pattern mining , we mainly take account into the hydrophobicity property and the adjacency relationship of acids , and it achieved good results
  研究中把对bp神经网络的一些常用改进算法,如附加动量法、自适应学习率调整策略以及遗传算法用于bp神经网络中,这些算法的应用既避免了网络陷入局部极小,同时还提高了系统的收敛速度和预测精度。