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Genetic algorithm applied to least squares curve fitting

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Genetic algorithm applied to least squares curve fitting
Συνεισφορές: Karr, C. L. (Charles L.), Stanley, D. A. (Donald A.), Scheiner, Bernard J., United States. Bureau of Mines.
Συλλογή: CDC Stacks (Centers for Disease Control and Prevention)
Θεματικοί όροι: Genetic algorithms -- Data processing, Curve fitting -- Data processing, Least squares -- Data processing
Περιγραφή: "The U.S. Bureau of Mines is investigating the use of genetic algorithms (ga's) for solving optimization problems. This computer search technique, based on the mechanics of natural genetics, was used to perform simple least-squares curve fitting. Three examples are presented in which a ga manipulates binary coded strings to produce near-optimal solutions to least-squares curve-fitting problems after having viewed only a small portion of the search space. The examples include fitting data to the equation of a line, the equation of a parabola, and the ree-eyring equation." - NIOSHTIC-2 ; NIOSHTIC no. 10008480 ; 1991
Τύπος εγγράφου: other/unknown material
Περιγραφή αρχείου: 8 numbered pages
Γλώσσα: English
Relation: http://stacks.cdc.gov/view/cdc/10511/
Διαθεσιμότητα: http://stacks.cdc.gov/view/cdc/10511/
Αριθμός Καταχώρησης: edsbas.92DCCB40
Βάση Δεδομένων: BASE
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