Metadata language
Learning algorithms and uncertain variables for a class of knowledge based assembly systems
Subtitle:Raport Badawczy = Research Report ; RB/37/2001
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:15 pages ; 21 cm ; Bibliography p. 15
Subject and Keywords:Learning algorithms ; Intelligent control systems ; Assembly systems ; Uncertain variables ; Algorytmy uczenia maszynowego ; Inteligentne systemy sterowania ; Zmienne niepewne
Abstract:In the paper, a class of uncertain assembly systems described by a relational knowledge representation is considered. The formal model of a system, the statement of the decision (control) problem and the solution in the form of a sequence of sets of assembly operations in successive stages of the assembly process under consideration are presented. The algorithms of learning consisting in step by step knowledge validation and updating are given. The structure of the decision making system is described. The application of uncertain variables to the determination of optimal decisions is presented.
Relation:Raport Badawczy = Research Report
Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
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