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gradient descent algorithm中文是什么意思

  • [网络] 梯度下降算法;梯度陡降法;梯度衰减原理

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  • 例句与用法
  • The gaussian function set depends on its centroid and width, therefore, we derive new supervised gradient descent algorithms to tune the parameters of " if-part " of gaussian functions . it also tunes the " then-part " of gaussian function
    高斯型函数是由它的中心和宽度两个参数决定的,所以,我们给出新的有监督的梯度下降算法来调整如果部分高斯函数与则部分的高斯函数的中心和宽度。
  • Among hese method, one of the simplest is the deepest gradient descent algorithm, but it has one disadvantage that the solutions are oscillatory and slowly convergent . a friction term is ntroduced to avoid oscillatory solutions and raise convergence rate . the third major contribution of this dissertation is study on 3-d diffuse object surface optical automatic measurement
    其次,结合要处理的具体问题,介绍数值优化及几种常用的无约束最优化计算方法,以最优梯度法为基础,讨论其算法的优缺点,通过引进阻尼系数,改进了算法的收敛速度,从而提高迭代精度。
  • A new hybrid learning algorithm is proposed to train the fuzzy neural network based on tsk fuzzy model . firstly, fuzzy c-means algorithm is applied to initialize the parameters of the fuzzy neural network . secondly, the parameters of the premise part of the fuzzy rule are learned by the gradient descent algorithm
    提出了一阶tsk模糊神经网络的混合学习算法,算法由三部分组成:基于模糊聚类的网络初始化;基于梯度下降的规则前件的学习算法;基于部分最小二乘的规则后件的学习算法。
  • A soft sensor modeling algorithm based on improved fuzzy neural network is presented . the normalized average output membership functions are defined as fuzzy basis functions for defuzzification calculation . in order to improve the property of convergence, some parameters of the fuzzy neural network are trained by levenberg-marquardt algorithm, and the others are trained by gradient descent algorithm
    提出了一种改进的模糊神经网络软测量建模方法,采用规则化的平均输出隶属度函数作为模糊基函数进行反模糊化运算;在训练网络时,部分参数采用levenberg-marquardt算法来训练,另一部分采用一阶梯度下降法。
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Last modified time:Tue, 19 Aug 2025 00:29:56 GMT

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