Training for Extremum Determination of Function of Variables Measured in Names Scale
Proceedings of the Second International Joint Conference on Artificial Intelligence. Pages 418-422.
Abstract
In this paper an algorithm is given for extremum search of an unknown func- tion l'r X') when the space of variables taking discrete values is not a metric one. Function values are obtained expe- rimentally. The given algorithm is based on the idea of adaptive random search. This al- gorithm has been used for the solution of a number of practical problems for choosing an effective subsystem of de- pendent l'~a t ures in pattern recognition. It is intended for solving problems which do not correspond to know prob- lems of discrete pro programming.
@inproceedings{ijcai1971p43,
title = {Training for Extremum Determination of Function of Variables Measured in Names Scale},
author = {Lbov, G. S.},
booktitle = {Proceedings of the Second International Joint Conference on
Artificial Intelligence, {IJCAI-71}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {D.C. Cooper},
pages = {418--422},
year = {1971},
url = {https://ijcai.org/proceedings/1971/43},
}
TY - CPAPER TI - Training for Extremum Determination of Function of Variables Measured in Names Scale AU - Lbov, G. S. T2 - Proceedings of the Second International Joint Conference on Artificial Intelligence, IJCAI-71 PB - International Joint Conferences on Artificial Intelligence PY - 1971 SP - 418 EP - 422 UR - https://ijcai.org/proceedings/1971/43 ER -Copied
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