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   hierarchical learning 的翻译结果: 查询用时:0.173秒
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hierarchical learning
相关语句
  分层学习
     This paper focuses on the hierarchical learning of high level strategy of soccer robot system.
     本文集中研究足球机器人高层策略的分层学习
短句来源
     Finally,point to the deficiency existing in the hierarchical learning technologies nowadays,which increase a new research task in the research of Robotic soccer.
     最后,指出了当前机器人足球中分层学习技术存在的不足,为以后机器人足球研究又增加了一个新的研究课题。
短句来源
  递阶学习
     Based on multiresolution analysis and orthonormal wavelet decomposition theory,orthonormal wavelet network is built,with both orthonormal wavelet and orthonormal scaling functions being activation functions. By making full use of complementarity of two activation functions,layered and hierarchical learning algorithms for the network are given,which makes orthonormal wavelet network approach to desired solution without being trapped in local minima and is able to build definite relationship between network's structure and approximation accuracy.
     依据多分辨分析和正交小波分解理论,建立由正交小波函数和正交尺度函数共同作为神经网络的激励函数的正交小波网络,并充分利用二者互补的特性,给出正交小波网络的分层、递阶学习算法,这使得正交小波网络在逼近函数的过程中不存在局部最小的问题,而且可以建立网络结构与逼近精度之间的明确关系;
短句来源
  “hierarchical learning”译为未确定词的双语例句
     This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
     提出了一种二层学习算法来优化模糊规则基。
短句来源
     This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base.
     这种二层优化方法能较好地减少模糊规则基的冗余度,化简模糊规则基。
短句来源
     Design a decision-making system based on hierarchical technologies,and research on the hierarchical learning in Robotic soccer using machine learning.
     设计了一个基于分层技术的决策子系统,在此基础上,使用机器学习的方法对分层之后的决策学习和技能学习进行了研究实现。
短句来源
  相似匹配句对
     Hierarchical Reinforcement Learning
     分层强化学习方法研究
短句来源
     On Learning
     论学习
短句来源
     New method of hierarchical reinforcement learning
     一种新的分层强化学习方法
短句来源
     ARCHITECTURE AND LEARNING
     建筑学与学建筑
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  hierarchical learning
Otherwise, the performance worsens, and there is no hierarchical learning at all.
      
If the normalization is adequately selected, hierarchical learning of features of increasing order takes place as a function of the training set size.
      
Hierarchical Learning in Polynomial Support Vector Machines
      
We prove some positive results in this setting, but also show that in some cases the hierarchical learning problem is computationally hard.
      
Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory
      
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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.

This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases. In this algorithm, Takagi Sugeno fuzzy neural network is used for the parametric learning of a fuzzy rule base with steepest descent method. Then, the structure of fuzzy rule bases is optimized with the binary coding method, in which a rule corresponds to a gene bit, and a rule base to a chromosome. This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base. A computer...

This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases. In this algorithm, Takagi Sugeno fuzzy neural network is used for the parametric learning of a fuzzy rule base with steepest descent method. Then, the structure of fuzzy rule bases is optimized with the binary coding method, in which a rule corresponds to a gene bit, and a rule base to a chromosome. This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base. A computer simulation verifies the effectiveness of the proposed algorithm.

提出了一种二层学习算法来优化模糊规则基。利用TakagiSugeno模糊神经网络对一个模糊规则基进行参数学习,学习方法为梯度下降法,然后利用遗传算法对规则基进行结构调整,采用二进制编码方法,一条规则对应于一个基因位,一个规则基对应于一条染色体。这种二层优化方法能较好地减少模糊规则基的冗余度,化简模糊规则基。仿真实验也证实了这一点

Based on multiresolution analysis and orthonormal wavelet decomposition theory,orthonormal wavelet network is built,with both orthonormal wavelet and orthonormal scaling functions being activation functions.By making full use of complementarity of two activation functions,layered and hierarchical learning algorithms for the network are given,which makes orthonormal wavelet network approach to desired solution without being trapped in local minima and is able to build definite relationship between network's...

Based on multiresolution analysis and orthonormal wavelet decomposition theory,orthonormal wavelet network is built,with both orthonormal wavelet and orthonormal scaling functions being activation functions.By making full use of complementarity of two activation functions,layered and hierarchical learning algorithms for the network are given,which makes orthonormal wavelet network approach to desired solution without being trapped in local minima and is able to build definite relationship between network's structure and approximation accuracy.Furthermore,case study is carried out to demonstrate application of orthonormal wavelets networks to population forecasting of our country and result is encouraging.

依据多分辨分析和正交小波分解理论,建立由正交小波函数和正交尺度函数共同作为神经网络的激励函数的正交小波网络,并充分利用二者互补的特性,给出正交小波网络的分层、递阶学习算法,这使得正交小波网络在逼近函数的过程中不存在局部最小的问题,而且可以建立网络结构与逼近精度之间的明确关系;建立了我国人口预测的正交小波网络模型并验证了模型的实际有效性.

 
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