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function approximation中文是什么意思

  • 函數(shù)逼近

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  • 例句與用法
  • Function approximation study of general fuzzy system
    模糊系統(tǒng)的函數(shù)逼近特性研究
  • Research and simulation of bus protection with function approximation ability
    基于函數(shù)逼近能力的母線保護(hù)的研究及仿真
  • So the network has the better capability of function approximation and pattern recognition
    因此改進(jìn)的網(wǎng)絡(luò)具有較好的函數(shù)逼近能力和模式識(shí)別能力。
  • After trained , the fuzzy neural networks have good function approximation ability and generalization ability
    訓(xùn)練后的模糊神經(jīng)系統(tǒng)具有良好的函數(shù)逼近能力和泛化能力。
  • Secondly , a solution based on the theory of function approximation is proposed to select the key parameter of neural network
    其次,在神經(jīng)網(wǎng)絡(luò)關(guān)鍵參數(shù)選擇問題上,提出了一種基于函數(shù)逼近思想選擇網(wǎng)絡(luò)參數(shù)的方法。
  • , 2002 ) . the varying coefficients model , which is the function approximation method for high dimension , is discu ssed in this paper
    本論文主要討論的是變系數(shù)模型( thevaryingcoefficientmodel ) ,屬于函數(shù)近似這一類。
  • In addition , we formulated measures of ga - hardness for gas with real - valued encoding , and advanced the method of the first order function approximation
    對實(shí)數(shù)編碼遺傳算法困難度的測試方法進(jìn)行了分析,提出了一階函數(shù)逼近測試法。
  • So , it could be seen that the structures research , function approximation properties and learning algorithms of procedure neural network models is quite significant
    研究過程神經(jīng)元網(wǎng)絡(luò)模型的拓?fù)浣Y(jié)構(gòu),函數(shù)逼近性質(zhì),學(xué)習(xí)算法等具有十分普遍的意義。
  • Kosko applied it to several engineering applications and summarized that the key of fuzzy engineering was function approximation in the book of fuzzy engineering
    在模糊工程一書中, kosko把這個(gè)模型應(yīng)用到許多工程領(lǐng)域并概括出模糊工程的核心問題是函數(shù)逼近問題。
  • 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
    在用支持向量回歸進(jìn)行函數(shù)逼近時(shí),我們完全可以用兩個(gè)參數(shù)來控制支持向量的個(gè)數(shù)和逼近的效果。
  • 更多例句:  1  2  3  4
  • 百科解釋
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.
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