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function approximation中文是什么意思

  • 函数逼近

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  • 例句与用法
  • A novel class of layered feedforward neural network models for function approximation was proposed based on the principle of multi - dimensional discrete fourier transform
    摘要利用多维离散傅立叶变换原理构造新颖的神经网络模型用于函数逼近,网络结构为分层前向网络。
  • Abstract : based on the strong learning ability and nonlinear function approximation capacity of multi - layer perceptrons ( mlps ) , a generating chaotic sequence model is proposed in this paper
    文摘:应用具有全局最优的进化规划算法建立产生混沌序列的优化神经网络模型。
  • In chapter two , the basic knowledge related to panel display drive technology and chromaticity is introduced . some terminology of functions approximation theory is presented
    第二章介绍了有关平板显示器驱动技术的基本原理和显示色度学相关的基础知识,同时给出函数逼近理论的基本概念。
  • Second , its generalization ability through the concrete function approximation example is analyzed and a method for obtaining better generalization ability through dynamic gauss width searching is presented
    同时,通过函数仿真的实例分析了该网络的泛化能力,并给出了一种通过动态自动寻优获得该网络较好泛化能力的方法。
  • Conditions that a class of sequence has convergent subsequence arc discussed in the paper , this sequence is important in function approximation . the gained conclusions are useful in some relative areas
    摘要文章讨论了在函数逼近论中有重要作用的一类序列存在收敛子列的条件,文中所得结论在相关问题的研究中有较重要的作用。
  • In addition , the paper makes relatively in - depth analyses on the function approximation theory of radial basis function neural networks and the stability of the adaptive controller based on radial basis function neural networks
    此外,本文对径向基函数神经网络的函数逼近理论以及基于径向基函数神经网络的自适应控制器的稳定性作了较深入的分析。
  • In the course of the practicality , the professional knowledge and experiences , or the capability of nonlinear function approximation are adopted in fuzzy modeling , then genetic arithmetic is applied to optimize the network
    实际过程中采用了专家知识和经验进行模糊建模,或利用神经网络的非线性函数逼近能力建模,然后应用遗传算法对网络进行优化的技术。
  • Svm , developed from that theoretical architecture , is a highly adaptive method , which is applied in the areas of pattern recognition , regression estimation , function approximation and density estimation
    在这一理论基础上发展了一种新的通用学习方法一支撑向量机svm 。它是一种普遍适用的方法,已经广泛的用于模式识别、回归估计、函数逼近、密度估计等方面。
  • We look at the problem of learning from examples as the problem of multivariate function approximation from sparse chosen data , and then consider the case in which the data are drawn , instead of chosen , according to a probability measure
    并检视稀疏精选值中多变量函数近似法等这些从实例学习法所发现的问题,然后根据机率衡量,审思随机获得资料而非选定资料的案例。
  • Based on the result above , the open loop control strategy is bringed forward in the paper . we use the function approximation property of neural network to obtain the function through studying using neural network method . and then realize the position control
    利用前向bp网络能够对任意函数以任意精度逼近的特点,对开环控制策略中难以确定的函数进行学习,实现两关节的任意位置控制。
  • 更多例句:  1  2  3  4
  • 百科解释
The need for function approximations arises in many branches of applied mathematics, and computer science in particular. In general, a function approximation problem asks us to select a function among a well-defined class that closely matches ("approximates") a target function in a task-specific way.
详细百科解释
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Last modified time:Mon, 11 Aug 2025 00:29:56 GMT

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