• The optimum programs are made for the target error, the learning of Neural Network, the time of training.

    目标误差网络学习率训练次数进行了具体优化

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  • Because the error transfer function of rough neural network is not differentiable, genetic algorithms are applied for training the network.

    由于神经网络误差传递函数不可微,所以采用遗传算法训练粗神经网络。

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  • It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.

    通过构造输出辨识对象参数引进反馈误差实现解耦神经网络的在线训练

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  • This method utilizes the nonlinear mapping ability of the BP neural network. By training, the BP neural network achieves the error compensation for multi sensor system.

    方法利用BP网络较强的非线性映射能力,网络通过学习能实现传感器系统误差补偿

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  • Specifies the percentage of training cases used to calculate the holdout error, which is used as part of the stopping criteria during neural network learning.

    指定用于计算错误培训案例百分比在类神经网路学习期间作为停止准则一部分

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  • At last the proposed network is used to the construction bidding system. The results of the simulation indicate that it can obtain higher error precision, training speed and generalization ability.

    最后提出网络结构应用于建筑工程的投标报价中,仿真结果证明网络达到更高误差精度、更快的训练速度更好的泛化能力。

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  • The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.

    构造局部连接前馈神经网络的结构基于递推预报误差网络训练算法

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  • A neural network model with dynamical compensating capability is analyzed. During the training of this network model, we apply the principle of dynamic error back-propagation.

    本文分析了动态补偿神经网络模型,模型训练利用反向传播原理实现。

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  • Parameters value of sites in ants' route was bestowed on BP network, while parameters and training error stored in stored units were changed along with the adjustment of training error of BP network.

    又将蚂蚁行经路径存储单元存放参数赋予BP网络训练存储单元存放的参数训练误差值亦BP网络训练误差调整而改变

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  • The effect of training set size on the error of neural network model is analyzed. The results show that the model has reasonable accuracy when the training set size is not less than 14.

    分析了训练样本大小模型误差影响指出训练样本少于14个的情况下,模型具有较高的预测精度。

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  • Absrtact: By considering the error rates and the training speed of neural networks, a hierarchical classifiers which is called as BP - LVQ neural network combination model is proposed in this paper.

    摘要综合考虑神经网络分类误差率以及训练速率,文中从组合分类器结构出发,提出一种树形多层BPLV Q神经网络组合分类器模型

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  • A substantiation analysis has been made with many sampled data and training results indicate that the network prediction has less error.

    利用实际样本数据进行实证分析,训练结果表明网络预测误差小。

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  • A substantiation analysis has been made with many sampled data and training results indicate that the network prediction has less error.

    利用实际样本数据进行实证分析,训练结果表明网络预测误差小。

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