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EXPERT SYSTEM FOR THE CHARACTERIZATION OF LABORATORY SAMPLE INPUT SIGNALS:AUTOCORR
引用本文:P.MIJLAND,J.KLAESSENS,B.VANDEGINSTE,G.KATEMAN. EXPERT SYSTEM FOR THE CHARACTERIZATION OF LABORATORY SAMPLE INPUT SIGNALS:AUTOCORR[J]. 地理学报(英文版), 1989, 0(2)
作者姓名:P.MIJLAND  J.KLAESSENS  B.VANDEGINSTE  G.KATEMAN
作者单位:Laboratorium voor Analytische Chemie University of Nijmegen,Toernooiveld,NL-6525 ED Nijmegen,The Netherlands,Laboratorium voor Analytische Chemie,University of Nijmegen,Toernooiveld,NL-6525 ED Nijmegen,The Netherlands,Laboratorium voor Analytische Chemie,University of Nijmegen,Toernooiveld,NL-6525 ED Nijmegen,The Netherlands,Laboratorium voor Analytische Chemie,University of Nijmegen,Toernooiveld,NL-6525 ED Nijmegen,The Netherlands
摘    要:An expert system is presented for automated time series analysis of laboratory sample input signals.Thesystem,AUTOCORR,builds a model of the time series by identifying the processes that are present.These are an uncorrelated random process and,underlying this,possibly one or more of the following:a first-order autoregressive process,a trend and a periodic process.AUTOCORR has a knowledge baseof 44 rules and 41 facts for this purpose.The employed shell,INFER,allows the use of algorithmicprocedures.Elaborate tests with simulated signals show that AUTOCORR has a very low false positivescore and is successful in describing time series for laboratory simulation models.


EXPERT SYSTEM FOR THE CHARACTERIZATION OF LABORATORY SAMPLE INPUT SIGNALS:AUTOCORR
P.MIJLAND J.KLAESSENS B.VANDEGINSTE G.KATEMAN Laboratorium voor Analytische Chemie,University of Nijmegen,Toernooivel,NL- ED Nijmegen,The Netherlands. EXPERT SYSTEM FOR THE CHARACTERIZATION OF LABORATORY SAMPLE INPUT SIGNALS:AUTOCORR[J]. Journal of Geographical Sciences, 1989, 0(2)
Authors:P.MIJLAND J.KLAESSENS B.VANDEGINSTE G.KATEMAN Laboratorium voor Analytische Chemie  University of Nijmegen  Toernooivel  NL- ED Nijmegen  The Netherlands
Affiliation:P.MIJLAND J.KLAESSENS~ B.VANDEGINSTE G.KATEMAN Laboratorium voor Analytische Chemie,University of Nijmegen,Toernooivel,NL- ED Nijmegen,The Netherlands
Abstract:An expert system is presented for automated time series analysis of laboratory sample input signals.The system,AUTOCORR,builds a model of the time series by identifying the processes that are present. These are an uncorrelated random process and,underlying this,possibly one or more of the following: a first-order autoregressive process,a trend and a periodic process.AUTOCORR has a knowledge base of 44 rules and 41 facts for this purpose.The employed shell,INFER,allows the use of algorithmic procedures.Elaborate tests with simulated signals show that AUTOCORR has a very low false positive score and is successful in describing time series for laboratory simulation models.
Keywords:Expert system  Time series analysis  Autocorrelation Laboratory input signals
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