Stork et al., 2017 - Google Patents
Surrogate-assisted learning of neural networksStork et al., 2017
View PDF- Document ID
- 9582805526011897888
- Author
- Stork J
- Zaefferer M
- Fischbach A
- Rehbach F
- Bartz-Beielstein T
- Publication year
External Links
Snippet
Surrogate-assisted optimization has proven to be very successful if applied to industrial problems. The use of a data-driven surrogate model of an objective function during an optimization cycle has many bene ts, such as being cheap to evaluate and further providing …
- 230000001537 neural 0 title abstract description 13
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
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- G06N99/00—Subject matter not provided for in other groups of this subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
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