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Uniform design applied to nonlinear multivariate calibration by ANN

机译:均匀设计应用于ANN非线性多元校正

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In this paper, a new experimental design called uniform design (UD) has been introduced as a promising candidate for experimental design in nonlinear multivariate calibration by ANN. In its application to ANN, the UD has the following merits: 1. it is capable of producing samples with high representativeness; 2. it imposes no strong assumption on the model; and 3. it allows many levels for each factor. A comparative study has been made among UD, orthogonal array design (OAD) and central composite design (CCD). The results by UD in simulated and real-fluorescence systems are satisfactory. (C) 1998 Elsevier Science B.V. All rights reserved. [References: 29]
机译:在本文中,引入了一种新的实验设计,称为统一设计(UD),作为通过ANN进行非线性多元校准的实验设计的有希望的候选者。在将其应用于人工神经网络时,UD具有以下优点:1.能够生产具有高代表性的样品; 2.它没有对模型强加任何假设; 3.它允许每个因素有多个等级。在UD,正交阵列设计(OAD)和中央复合设计(CCD)之间进行了比较研究。 UD在模拟和实际荧光系统中的结果令人满意。 (C)1998 Elsevier Science B.V.保留所有权利。 [参考:29]

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