ITERATIVE PLANNING METHOD THAT USES PATTERN RECOGNITION TO ALLOW FOR POORLY FORMALIZED FACTORS. / Mazurov V.D. // Eng Cybern. - 1973. - V. 11, l. 3. - P. 538-540.

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Abstract:
Solving a mathematical programming problem is considered in which there are admissibility requirements of plans with respect to poorly formalized criteria. These restrictions are constructed using pattern recognition methods. Finite sets of admissible and inadmissible plans, with respect to the criteria considered, are introduced for training. If, in the course of time, these sets are filled out by new elements, there arises an iterational process of solving the original problem.
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Index keywords:
PATTERN RECOGNITION SYSTEMS; MATHEMATICAL PROGRAMMING
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-0015617949&partnerID=40&md5=ce1cc84a604f463871f7018842dbe1f3
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Link https://www.scopus.com/inward/record.uri?eid=2-s2.0-0015617949&partnerID=40&md5=ce1cc84a604f463871f7018842dbe1f3
Correspondence Address Mazurov, V.D.
CODEN ENCYA
Abbreviated Source Title Eng Cybern
Source Scopus