• A few or all of the parameters of the controller are adjusted by using the gradient descent algorithm to minimize the output error.

    运用最优梯度下降法使目标计算值与期望值误差最小来迭代优选权重,建立迭代算法模型

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  • In the past thirty years, the work-horse algorithms in the field of digital signal processing and communication have been the gradient descent algorithm and the least square algorithm.

    过去三十中,数字信号处理数字通信领域采用主要优化算法下降方法最小二乘方法。

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  • The model was a Feedforward Fuzzy neural network possessing five layers, and Gradient Descent was adopted as learning algorithm.

    模型采用前向模糊神经网络学习算法梯度下降法。

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  • The weights are trained with Gradient Descent Method. The increase algorithm of BVS, and restricted algorithm, was induced.

    利用梯度下降法对网络权值进行训练,并且推导了BVS的增长算法以及网络训练的限制记忆递推公式。

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  • The paper proposes an adaptive neural network PID controller based on weighlearning algorithm using the gradient descent method for the AC position servosystem of binding and printing.

    针对包装印刷传动位置伺服系统介绍一种基于共轭梯度学习算法神经网络自适应PID控制方法

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  • An algorithm of PID gradient descent with momentum term (PIDGDM) is proposed. In this algorithm, the procedure of gradient optimization is considered as a feedback control system.

    梯度优化过程看作反馈控制系统,从而提出种带动量PID梯度算法(PIDGDM)。

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  • This paper researches the application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.

    随机并行梯度下降(SPGD)最优化算法光束净化系统中的应用展开研究

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  • The stochastic parallel gradient descent (SPGD) algorithm can optimize the system performance indexes directly to correct wavefront aberration.

    随机并行梯度下降(SPGD)算法可以系统性能指标直接优化校正畸变波前

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  • Based on the steepest descent method and the conjugate gradient method, a hybrid algorithm is proposed in this paper, and its global convergence is proved.

    下降共轭梯度法有机结合起来,构造出一种混合优化算法证明全局收敛性。

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  • Furthermore, the condition of the faster convergence of the proposed algorithm comparing with the conventional gradient descent algorithm with momentum term is derived.

    进而给出梯度一定条件下,所提出算法传统的带动量梯度法收敛的条件。

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  • The known study algorithms which are used to be Fuzzy Neural Network parameter study algorithms are BP algorithm with gradient descent and inheritance algorithm.

    目前使用的最多的学习算法仍然基于梯度下降的BP算法遗传算法。

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  • The known study algorithms which are used to be Fuzzy Neural Network parameter study algorithms are BP algorithm with gradient descent and inheritance algorithm.

    目前使用的最多的学习算法仍然基于梯度下降的BP算法遗传算法。

    youdao

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