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function approximation造句

"function approximation"是什么意思   

例句与造句

  1. Function approximation study of general fuzzy system
    模糊系统的函数逼近特性研究
  2. Research and simulation of bus protection with function approximation ability
    基于函数逼近能力的母线保护的研究及仿真
  3. So the network has the better capability of function approximation and pattern recognition
    因此改进的网络具有较好的函数逼近能力和模式识别能力。
  4. After trained , the fuzzy neural networks have good function approximation ability and generalization ability
    训练后的模糊神经系统具有良好的函数逼近能力和泛化能力。
  5. Secondly , a solution based on the theory of function approximation is proposed to select the key parameter of neural network
    其次,在神经网络关键参数选择问题上,提出了一种基于函数逼近思想选择网络参数的方法。
  6. It's difficult to find function approximation in a sentence. 用function approximation造句挺难的
  7. , 2002 ) . the varying coefficients model , which is the function approximation method for high dimension , is discu ssed in this paper
    本论文主要讨论的是变系数模型( thevaryingcoefficientmodel ) ,属于函数近似这一类。
  8. In addition , we formulated measures of ga - hardness for gas with real - valued encoding , and advanced the method of the first order function approximation
    对实数编码遗传算法困难度的测试方法进行了分析,提出了一阶函数逼近测试法。
  9. So , it could be seen that the structures research , function approximation properties and learning algorithms of procedure neural network models is quite significant
    研究过程神经元网络模型的拓扑结构,函数逼近性质,学习算法等具有十分普遍的意义。
  10. Kosko applied it to several engineering applications and summarized that the key of fuzzy engineering was function approximation in the book of fuzzy engineering
    在模糊工程一书中, kosko把这个模型应用到许多工程领域并概括出模糊工程的核心问题是函数逼近问题。
  11. While using support vector regression to do function approximation , we can control the number of support vectors and the approximative performance all by two parameters
    在用支持向量回归进行函数逼近时,我们完全可以用两个参数来控制支持向量的个数和逼近的效果。
  12. 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。
  13. 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。
  14. 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。
  15. 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。
  16. 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。
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