ISSN:0886-9383    

DOI:10.1002/cem.1180050203

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY

摘要:

AbstractA new program, named ANTICOMPLEX, has been specially written for searching the optimum conditions of a technological process. The algorithm is based on an iterative procedure with, at each step, a random sampling for a better exploration of the hyperspace of the parameters. Since the process is considered as a ‘black box’, the program operates by successive reductions of the variation domains with a strategy derived from some function optimization (COMPLEX). This approach is very flexible and the experimenter can stop the investigation at any series of experiments according to the desired accuracy for the optimum region. This program has been successfully tested on several real processes. This paper gives a complete description of the approach together with two illustrations on simulated proces

ISSN:0886-9383    

DOI:10.1002/cem.1180050204

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY

摘要:

AbstractThis paper will consider the use of an iterative ratio technique called Gold's ratio method as an alternative to iterative constrained deconvolution methods for the restoration of overlapped and noisy chromatograpic peaks. The study will consist of first describing the technique and then evaluating its performance with respect to Jansson's deconvolution procedure. A Hewlett‐Packard 5890A gas chromatograph will be used to generate most of the test data. The evaluation criteria will include convergence rates, peak area errors and variances, retention time variances and noise performanc

ISSN:0886-9383    

DOI:10.1002/cem.1180050205

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY

摘要:

AbstractRegression between two blocks (usually called ‘dependent’ orYand ‘independent’ orX) of data is a very important scientific and data‐analytical tool. Regression on multivariate images is possible and constitutes a meaningful addition to existing univariate and multivariate techniques of image analysis. The regression can be used as a modeling tool or for prediction. The form of the regression equation chosen is dependent upon problem specification and information at hand. This paper describes the use of principal component regression (PCR). Both model building and prediction are presented for continuousY‐variables. The final goal is to supply new image material that can be used for visual inspection on a screen. Also, visual tools for diagnosis of model and prediction are provided, often based on derived image material. Examples of modeling and prediction are given for six channels in a seven‐channel sa

ISSN:0886-9383    

DOI:10.1002/cem.1180050206

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY

ISSN:0886-9383    

DOI:10.1002/cem.1180050207

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY

ISSN:0886-9383    

DOI:10.1002/cem.1180050208

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY

ISSN:0886-9383    

DOI:10.1002/cem.1180050202

出版商:John Wiley&Sons, Ltd.    

年代:1991

数据来源: WILEY