function approximation中文是什么意思

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中文翻譯
造句

函數(shù)逼近

function n. 1.功能，官能，機(jī)能，作用。 2.〔常 pl.〕職 ...
approximation n. 1.接近；近似。 2.【數(shù)學(xué)】近似值。 3.概算， ...
approximation function 逼近函數(shù); 近似方程式
approximation of function 函數(shù)逼近; 函數(shù)的逼近; 函數(shù)近似
approximation of lagrange function 拉格朗日函數(shù)近似
exponential function approximation 指數(shù)函數(shù)近似
rational function approximation 有理函數(shù)逼近; 有理函數(shù)近似
rational-function approximation 有理函數(shù)逼近
approximation n. 1.接近；近似。 2.【數(shù)學(xué)】近似值。 3.概算，略計(jì)。 successive approximations 逐次近似計(jì)算法。 be a very close approximation to 很接近于…。
approximation approximation 近似，逼近
acoustic approximation 聲學(xué)近似
adiabatic approximation 絕熱近似法
allowable approximation 容許近似值
alternative approximation 交互近似法
analog approximation 模擬近似
analytical approximation 解析近似
approx approximation 近似.略計(jì)
approximation algorithm 近似算法
approximation algorithms 第三十五章近似算法
approximation and correction 近似與校正
approximation andcorrectionon 近似與校正
approximation by excess 過(guò)剩逼近
approximation by polynomial 多項(xiàng)式逼近
approximation calculus 近似計(jì)算
approximation coefficient 近似系數(shù)

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例句與用法

A novel class of layered feedforward neural network models for function approximation was proposed based on the principle of multi - dimensional discrete fourier transform
摘要利用多維離散傅立葉變換原理構(gòu)造新穎的神經(jīng)網(wǎng)絡(luò)模型用于函數(shù)逼近，網(wǎng)絡(luò)結(jié)構(gòu)為分層前向網(wǎng)絡(luò)。
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:應(yīng)用具有全局最優(yōu)的進(jìn)化規(guī)劃算法建立產(chǎn)生混沌序列的優(yōu)化神經(jīng)網(wǎng)絡(luò)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
第二章介紹了有關(guān)平板顯示器驅(qū)動(dòng)技術(shù)的基本原理和顯示色度學(xué)相關(guān)的基礎(chǔ)知識(shí)，同時(shí)給出函數(shù)逼近理論的基本概念。
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
同時(shí),通過(guò)函數(shù)仿真的實(shí)例分析了該網(wǎng)絡(luò)的泛化能力,并給出了一種通過(guò)動(dòng)態(tài)自動(dòng)尋優(yōu)獲得該網(wǎng)絡(luò)較好泛化能力的方法。
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
摘要文章討論了在函數(shù)逼近論中有重要作用的一類(lèi)序列存在收斂子列的條件，文中所得結(jié)論在相關(guān)問(wèn)題的研究中有較重要的作用。
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，本文對(duì)徑向基函數(shù)神經(jīng)網(wǎng)絡(luò)的函數(shù)逼近理論以及基于徑向基函數(shù)神經(jīng)網(wǎng)絡(luò)的自適應(yīng)控制器的穩(wěn)定性作了較深入的分析。
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
實(shí)際過(guò)程中采用了專(zhuān)家知識(shí)和經(jīng)驗(yàn)進(jìn)行模糊建模，或利用神經(jīng)網(wǎng)絡(luò)的非線性函數(shù)逼近能力建模，然后應(yīng)用遺傳算法對(duì)網(wǎng)絡(luò)進(jìn)行優(yōu)化的技術(shù)。
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
在這一理論基礎(chǔ)上發(fā)展了一種新的通用學(xué)習(xí)方法一支撐向量機(jī)svm 。它是一種普遍適用的方法，已經(jīng)廣泛的用于模式識(shí)別、回歸估計(jì)、函數(shù)逼近、密度估計(jì)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
并檢視稀疏精選值中多變量函數(shù)近似法等這些從實(shí)例學(xué)習(xí)法所發(fā)現(xiàn)的問(wèn)題，然后根據(jù)機(jī)率衡量，審思隨機(jī)獲得資料而非選定資料的案例。
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網(wǎng)絡(luò)能夠?qū)θ我夂瘮?shù)以任意精度逼近的特點(diǎn)，對(duì)開(kāi)環(huán)控制策略中難以確定的函數(shù)進(jìn)行學(xué)習(xí)，實(shí)現(xiàn)兩關(guān)節(jié)的任意位置控制。

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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.

詳細(xì)百科解釋

其他語(yǔ)種釋義

function approximationとは意味：関數(shù)近似｛かんすうきんじ｝

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