• In the international language-learning environment, you can accelerate language learning speed through immersion study.

    在海外的语言环境下,沉浸式的学习对于短时间内迅速提升听、说、读、写能力非常有帮助。

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  • The simulation result indicates that the algorithm has much faster learning speed and more superior learning precision compared with the standard BP algorithm.

    仿真结果表明:该算法比传统的BP算法具有更快的学习速度和更高的学习精度。

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  • We want to accelerate our learning speed.

    我们想加快学习的速度。

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  • We use conjugate gradient method to improve the learning speed of the premise parameters.

    用共轭梯度法提高其前提参数的学习速度。

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  • The emulation demonstrates that this algorithm can definitely enhance the learning speed and training accuracy.

    仿真表明该算法能大大提高学习速度和训练精度。

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  • To accelerate the learning speed, bias information is incorporated to boost learning process with priori knowledge.

    传统的强化学习存在收敛速度慢等问题,结合先验知识预置某些偏向可以加快学习速度。

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  • In addition, switch to normal conversation speed material as soon as you are comfortable with learning speed material.

    除此之外,一旦你适应了学习材料的速度,就把其更换为正常交谈语速的材料。

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  • However, its learning speed is slow in learning more advanced copies and a complicated output-input projection relationship.

    然而对于学习样本较多、输入输出映射关系复杂的情况,学习速度较慢。

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  • The modified neural network's learning speed is much increased because of the linear network and the recursive least square.

    由于线性网络的引入及递推最小二乘法的使用,大大提高了网络的学习速度。

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  • General regression neural network is proved with certain superiority in the ability of approaching, classification and learning speed.

    广义回归神经网络在逼近能力、分类能力和学习速度方面具有较强优势。

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  • To improve learning speed, a novel method for properly initializing the parameters (weights) of training complex-valued neural networks is proposed.

    为了改善学习速率,提出了一种确定复数神经网络初始权值的新颖方法。

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  • Because the initialized weights are optimized, the training accuracy and the learning speed are improved a lot for training complex-valued neural networks.

    初始权值的优化,使得该算法可以有效地提高复数神经网络的训练速度和计算精度。

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  • Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.

    实验结果表明:算法优化后的神经网络分类器不但学习速度快,还能保证分类精度。

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  • First, this paper investigates the effect of initial weight ranges, learning rate, and regularization co-efficient on generalization performance and learning speed.

    首先研究了初始权值的范围、学习率和正则项系数对泛化性能和学习速度的影响。

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  • Based on analysing characteristics of error curved surface of the network, the authors have advanced the rapid BP algorithm, which can greatly raise the learning speed.

    通过分析网络误差曲面特征,提出了快速BP算法,它可以大幅度地提高学习速度。

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  • The neural network predictive controller was used to control the cement flux, its simple network structure and rapid learning speed can be applied to the project realization.

    水泥流量采用神经元预测控制,该算法网络结构简单、收敛速度快,现场使用效果良好。

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  • As a result, the method is faster in learning speed, high in accuracy and robust in noise resistance, it is more suitable for sensor's correction and temperature compensation.

    因此,该学习速度快、补偿精度高、抗噪声干扰能力强,适合传感器温度补偿及校正。

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  • During the process of learning the RBF neural network, one can accelerate the converging process of learning by regulating the learning speed according to a performance function.

    在RBF神经网络的学习过程中,根据性能函数调节学习率,可以加快学习的收敛过程。

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  • The simulation result shows that the algorithm has much faster learning speed compared with the standard BP algorithm. It is entirely practicable in diesel fault diagnosis system.

    仿真结果表明,该算法比标准BP算法具有更快的学习速度,完全适用于柴油机故障诊断系统。

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  • By using CMAC neural network based on credit assignment this algorithm is implemented, and conventional CMAC's online learning speed and its accuracy are improved at the same time.

    采用基于信任分配的CMAC神经网络实现了该算法,显著提高了传统CMAC在线学习的速度与准确性。

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  • The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.

    结果表明径向基函数网络在学习速度,预测准确性及网络推广能力方面均优于BP网络,本文方法可用于加筋支挡结构的设计参考。

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  • The fuzzy controller is constructed based on the kinematic model of the robot. Messy coding method is used to reduce the size and complexity of chromosome and increase the learning speed.

    根据机器人的运动模型构造了模糊控制器,采用变长度编码方法对规则编码,减少了染色体的尺寸和复杂度,提高了学习速度。

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  • With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.

    本文从神经网络模型的结构出发,对学习算法提出了一系列改进和优化措施,以加快网络的学习速度,并增加模型的稳定性。

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  • Learning speed equals the speed of success!

    学习的速度等于成功的速度!

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  • There was a remarkable correlation between the syndromes of hyperactivity of liver-yang and distinguish index of word-learning, speed of number-copying.

    肝阳上亢证与词语学习辨别指数、抄写数字速度显著相关。

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  • There was a remarkable correlation between the syndromes of hyperactivity of liver-yang and distinguish index of word-learning, speed of number-copying.

    肝阳上亢证与词语学习辨别指数、抄写数字速度显著相关。

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