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self adjusting method
相关语句
  自适应调整法
     The simulation result shows that this method is feasible and effective, and the momentum constant and learning rate self adjusting method can speed the convergence of the BP algorithm.
     仿真实验表明 :这种方法可行且有效 ,采用动量项和学习率自适应调整法可以提高 BP算法的学习收敛速度
短句来源
  相似匹配句对
     SELF-ADJUSTING TENDENCY ANALYSIS
     自调节趋势分析法
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     Self-Adjusting of the Yongster's Mood
     青少年情绪的自我调适
短句来源
     On Self Innovation
     论自主创新
短句来源
     adjusting the microclimate;
     调节小气候 ;
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     Love of Self
     爱自己
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PID correcting mothod is still commonly applied in the system of self-adjustment. The adjustment of correctin parameter is always the unavoidable tast of this .method. This paperintroduces a model recogltion basel on controcled pulse response and the self-adjusted method with PID paianeterm, and thus provides a supplemont and improving measures for common rapid rising cure method,critical prdportion method.

PID校正方案仍为自动调节系统所广泛应用,校正参数的整定一直是该方法中不可避免的工作。本文介绍一种基于被控对象脉冲响应的模型辨识及PID参数自整定方法,为常规飞升曲线法、临界比例度法提供一种补充及改进措施。

This paper presents a class of effective improved BP algorithms. The algorithms use hierarchical learning approach to overcome the problem of oversize dimensionality existing in the general learning algorithm based on variable scale method, and use a self-adjusting method to determine the momentum factor, which avoids the problem of affecting the convergent velocity of learning due to incorrect selection of the factor. Simulations show the superiority of the proposed algorithms.

提出一类有效的改进BP算法,它采用分层的变尺度学习算法克服一般变尺度学习算法处理的矩阵线数过高、难于实用的问题;同时对势态项系数采用一种自适应的调整方法,避免因其选择不当影响学习收敛速度问题.计算实例表明算法的优越性.

A parameter self-adjusting fuzzy weighted controller of multivariable nonlinear system is designed in this paper. First we use fuzzy composed variables to decrease the fuzzy control system dimensions. Then according to the fuzzy composed variable effect on the final decision, we give each fuzzy composed variable a different weight. After self-learning of quantized parameters and weighted parameters with back propagation algorithm, a real-time parameter self-adjusting method...

A parameter self-adjusting fuzzy weighted controller of multivariable nonlinear system is designed in this paper. First we use fuzzy composed variables to decrease the fuzzy control system dimensions. Then according to the fuzzy composed variable effect on the final decision, we give each fuzzy composed variable a different weight. After self-learning of quantized parameters and weighted parameters with back propagation algorithm, a real-time parameter self-adjusting method based on fuzzy inference system is presented. It gives a solution to the problem for design and on-line realization of high dimension fuzzy adaptive controller. Simulations and real system experiments show its validity.

本文针对多变量非线性系统 ,提出了一种参数自调整的模糊加权信息融合方法 .利用模糊组合变量降低模糊控制系统的维数 ,根据不同的模糊组合变量对最后决策的作用大小 ,赋予不同的权重来实现对多变量非线性系统的控制 ,在利用反向传播算法对量化系数和加权系数进行自学习后 ,在线进行基于模糊规则的参数自调整 ,有效地解决了多变量模糊控制系统中难于设计多维规则库和在线实现自适应模糊控制的问题 .本文还对所提出的方法进行了仿真实验和实际系统的实验 ,实验结果证明了该方法的有效性

 
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