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Książka = Book ; KS/2/1992/R25
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:197-206 pages ; 21 cm ; Bibliography p. 205-206
Type of object: Abstract:We believe that an essential feature in machine learning is the real time satisfaction of multiple objectives such as identification, tracking etc. The machine learning problem may be viewed as a nonlinear adaptive control problem where the environment plays the role of the 'plant', while the learner is the controller. Multiobjective optimization (MOO) in the control problem typically deals w1th simultaneous optrmlzatton of more than one objecttve, where cach objecttve is descnbed via a cost functional. In sucha situation there of ten exists a region of tradeoff wherein one cost may be improved at the expense of others. Such a region is called the Pareto optima (PO) set. A parameterlzation of this set simplifies the attainment of the existing tradeoff. Working within the Pareto set guaranties optimum tradeoff. We present two examples for linear time invariant systems. These examples help illustrate different issues involved in this matter.
Relation: 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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