regression algorithm造句
例句與造句
- firstly, it introduces the gradient boosting theory and the no weight regression algorithm based on this theory, then it presents the experimental results of a practical problem
首先對以損失函數(shù)梯度下降為原理的樣本無權值算法進行了闡述，并給出了一個實際問題的仿真結(jié)果。 - the microsoft time series algorithm is a regression algorithm for use in creating data mining models to predict continuous columns, such as product sales, in a forecasting scenario
microsoft時序算法是一種回歸算法，用于在預測方案中創(chuàng)建數(shù)據(jù)挖掘模型以預測連續(xù)列（如產(chǎn)品銷量）。 - in this first part, he demonstrates how to develop and implement the heart of a simple linear regression algorithm package using php as the implementation language
在第1部分中，他演示了如何使用php作為實現(xiàn)語言來開發(fā)和實現(xiàn)簡單線性回歸（simplelinearregression）算法包的核心部分。 - through the experiment on the cod data and compared with some commonly used regression methods, it proves the efficiency and applicability of the ensemble learning boosting regression algorithm
通過對一批水質(zhì)cod數(shù)據(jù)進行的實驗仿真，并將其結(jié)果和一些常用的回歸方法作了比較，證明了集成學習boosting回歸算法對各種實際問題的有效性和適應性。 - a support vector regression algorithm was been introduced, and then an idea of forecasting medium-term and long-term regional economy based on the algorithm was explained and a mathematic model based on the idea was proposed
介紹了支持向量回歸算法，并在此基礎上，提出了基于支持向量回歸的方法對區(qū)域經(jīng)濟進行中長期預測的思路，并建立了相應的數(shù)學模型。 - It's difficult to find regression algorithm in a sentence. 用regression algorithm造句挺難的
- some preceding rain factors were list, then stepwise regression algorithm was employed to select the obvious factors from the list as the input of the bp networks . and the trial-and-error method is employed to define the number of the hidden layer nodes
論文列出若干個前期降雨量因子，利用逐步回歸算法從中挑選出影響因素大的作為網(wǎng)絡的輸入，通過“試錯法”確定隱節(jié)點數(shù)。 - the real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first, then the two items were modeled by chaos theory and the stepwise regression algorithm, at last the output of the two models were added together .
論文首先借助小波分析，將實測徑流時間序列分解為高頻項和低頻項兩項，其次對這兩項分別用混沌理論和逐步回歸理論建模，其中混沌預報借助基于自組織法求解的的volterra級數(shù)來完成，然后將兩者結(jié)果疊加起來。 - in case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network, which could solve the problems of high computation and curse of dimensionality . in the selecting of specific wavelet basis, this thesis first gets initial wavelet basis collection according to spectrum analysis, then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria, which could also initialize the model parameters and increase the speed of convergence
對于具體的模型小波基函數(shù)選擇,本文首先對樣本數(shù)據(jù)進行時頻域分析,根據(jù)小波基函數(shù)時頻空間覆蓋樣本時頻空間的原則,在小波框架中選擇建模所用的函數(shù)集,然后根據(jù)估計誤差最小準則,給出最小二乘回歸優(yōu)選算法以進一步優(yōu)化小波基函數(shù)集。
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