AN APPLICATION OF GENETIC PROGRAMMING FOR PREDICTING SHEAR STRENGTH OF CONCRETE

) AN APPLICATION OF GENETIC PROGRAMMING FOR PREDICTING SHEAR STRENGTH OF CONCRETE The present invention relates to an application of genetic programming for predicting shear strength of concrete. The present invention predicts shear strength of RCC beams using genetic programming. In the present inv...

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Bibliographische Detailangaben
Hauptverfasser: Londhe, Shreenivas Neelkanth, Joshi, Shardul Gangadhar, Namjoshi, Preeti Milind
Format: Patent
Sprache:eng
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Zusammenfassung:) AN APPLICATION OF GENETIC PROGRAMMING FOR PREDICTING SHEAR STRENGTH OF CONCRETE The present invention relates to an application of genetic programming for predicting shear strength of concrete. The present invention predicts shear strength of RCC beams using genetic programming. In the present invention, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs. The GP kernel program uses genetic programming for finding functions based on data. The program is a command line tool, in the sense that it has to be invoked from the command prompt with additional parameters. These parameters are the name of the file containing detailed information on the problem and the direction of the flux of information between the global parameter file and the subdirectory located parameter files.