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feedforward network     
相关语句
  前馈网络
     The prediction accuracy is guaranteed by the interpolation ability of the feedforward network.
     预测准确度由前馈网络的插值能力保证。
短句来源
     A Fast Supervised Learning Algorithm of Multilayer Feedforward Network Based on Improved Conjugate Gradient Method
     基于改进共轭梯度法的前馈网络快速监督学习算法
短句来源
     The paper analyses the neural network model improved with the genetic algorithm(GA),sets up the feedforward network model(model Ⅰ) with GA seeking weight and the initial feedforword network model(model Ⅱ)optimized by GA.
     本文对用遗传算法(GA)改进的神经网络的算法进行了分析,建立了用GA寻求权重的前馈网络模型(简称模型I)和用GA优化初始权重的前馈网络模型(简称模型Ⅱ)。
短句来源
     Sensitivity of multilayer feedforward network:analysis and reduced learning algorithm
     前馈网络灵敏度:分析及降低算法
短句来源
     Multilayer feedforward network approach for econometric modeling
     一种多层前馈网络计量经济建模方法
短句来源
更多       
  前向网络
     On the Classification Capability of Feedforward Network Containing Quadratic Sigmoidal Neurons
     含二次Sigmoidal神经元的前向网络的分类能力
短句来源
     Generating Fuzzy Rules Based on Multi-layer Feedforward Network
     基于多层前向网络的模糊规则自动生成
短句来源
     The neural network used is called DLF network, which is the combination of multilayer feedforward network with linear model.
     所采用的网络为一种将线性模型与多层前向网络相结合的DLF网络。
短句来源
     RBF neural network is a three-layer feedforward network and can be used to identify nonlinear model effectively.
     RBF神经网络是一种三层前向网络,可有效用来进行非线性模型的辨识。
     The algorithms for generating fuzzy rules (by data fitting or supervised classification) based on multi-layer feedforward netWork are presented, and the characteristics of the algorithms are described.
     提出基于多层前向网络的模糊规则自动生成算法(通过数据拟合、有监督的分类),并说明其特点。
短句来源
更多       
  前馈网络
     The prediction accuracy is guaranteed by the interpolation ability of the feedforward network.
     预测准确度由前馈网络的插值能力保证。
短句来源
     A Fast Supervised Learning Algorithm of Multilayer Feedforward Network Based on Improved Conjugate Gradient Method
     基于改进共轭梯度法的前馈网络快速监督学习算法
短句来源
     The paper analyses the neural network model improved with the genetic algorithm(GA),sets up the feedforward network model(model Ⅰ) with GA seeking weight and the initial feedforword network model(model Ⅱ)optimized by GA.
     本文对用遗传算法(GA)改进的神经网络的算法进行了分析,建立了用GA寻求权重的前馈网络模型(简称模型I)和用GA优化初始权重的前馈网络模型(简称模型Ⅱ)。
短句来源
     Sensitivity of multilayer feedforward network:analysis and reduced learning algorithm
     前馈网络灵敏度:分析及降低算法
短句来源
     Multilayer feedforward network approach for econometric modeling
     一种多层前馈网络计量经济建模方法
短句来源
更多       
  前馈神经网络
     Simulation study is done for the compound control scheme of the conventional PID control method with offset of the inverse model of multilayer feedforward network ANN.
     基于复合控制思想,对常规PID控制器+前馈神经网络逆模型补偿的复合控制结构方案进行了仿真。
短句来源
     To overcome disadvantage of slow convergence rate of back propagation (BP) algorithm for feedforward network, a new learning procedure which is called faster linearization learning algorithm is presented.
     针对前馈神经网络的反向传播(BP)学习算法收敛速度慢的缺点,提出了一种新的学习算法即线性化快速学习算法。
短句来源
     THE IDENTIFICATION OF ELECTRICAL DYNAMIC LOAD MODELS BASED ON FEEDFORWARD NETWORK
     基于前馈神经网络的动态负荷模型辨识
短句来源
     Multilayer feedforward network trained by RPROP algorithm is used to diagnose transformer fault based on dissolved gas-in-oil analysis (DGA), the model is given and the influence of hidden layer neurons number on the learning and generalization ability of Artificial Neural Network (ANN) is analyzed.
     将RPROP算法训练的多层前馈神经网络用于变压器油中溶解气体分析故障诊断,给出了网络模型,分析了隐层神经元数目对网络训练和诊断的影响。
短句来源
     To improve the weight learning efficiency of multilayer feedforward network,a new similar LM learning algorithm is proposed by introducing modified conjugate gradient method in solving of large-scale linear equation sets.
     为了提高多层前馈神经网络的权参数的学习效率,通过引入改进的求解大规模线性方程组的共轭梯度法,提出一种新的基于LM的前馈网络学习算法.
短句来源
更多       

 

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      feedforward network
    Finally a multi-station feedforward network is considered.
          
    A single-layer perceptron, along with multi-layer feedforward network where applicable, have been employed in forming the part families.
          
    This approximation is performed by training the feedforward network with objective functions evaluated at selected design sets in the feasible design regions.
          
    A feedforward network is then incorporated to perform function approximation of the design objective function.
          
    This paper presents a feedforward network estimation algorithm that addresses two issues, (i) avoiding local inferior minima to the performance criteria, and (ii) imposinga priori constraints to improve generalization and test economic hypotheses.
          
    更多          


    In this paper, mainly discuss the synthesis method of combined control systems (systems both contain open loop and closed loop control circuits). Suggest a simple method to calculate the system integral-square error by its logarithemic frequency characteristics. This method can easily be applied to synthesize the feedforward networks. When the output of the actuating element is subjected to some integral limit conditions, or the discrete circuit is used as feedforward unit, the synthesis method of...

    In this paper, mainly discuss the synthesis method of combined control systems (systems both contain open loop and closed loop control circuits). Suggest a simple method to calculate the system integral-square error by its logarithemic frequency characteristics. This method can easily be applied to synthesize the feedforward networks. When the output of the actuating element is subjected to some integral limit conditions, or the discrete circuit is used as feedforward unit, the synthesis method of feedforward network is also discussed.

    本文主要讨论了复合系统(具有开环及闭环控制回路的系统)的综合方法.文中拟出了一种用系统的对数频率特性计算系统误差平方积分值的简易方法,用这种方法可以很方便地综合前馈网络.对于执行环节输出有积分限制条件和用断续回路作为前馈单元的情形,文中也讨论了它们的综合方法.

    This paper gives a review on the recent advances on supervised learnieg methods for static feedforward networks, i.e (1) Various improvements and variants made on the classical Back Propagation. (2) A number of other learning methods for training Multilayer Perceptron. (3) Other feedforward models and supervised learning models. (4) Models with complex structures.

    本文从四个方面综述近年来用于前馈型网络的监督学习方法,即:1.对经典反向传播法的改进和变型;2.用于训练多层感知器的其它学习方法;3.其它前馈型网络模型和监督学习模型;4.具有复杂结构的各种模型.

    This paper deals with a neural network expert model based on hierarchical "and" and "or" graphic. The multi-layer feedforward network oriented from back-propagation algorichm is used for realizing the rule memory. Consistent with the above principles, samples composed of binary numbers arc utilized to train the cor-respondent network in order to acquire knowledges, while the rcpcatable forword-propagation of the network is related to the reasoning operations.

    本文从神经网络与传统专家系统相结合的角度出发,提出的一种基于层次与或图的神经网络专家系统模型.BP网被用作规则记忆器.并通过源于层次与或图的二值化样本的训练实现知识的获取,而网络的多次正向传播式的应用则用来完成相应的层次推理工作.*

     
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