Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Amanda O. C. Ayres"'
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:663-675
This paper introduces a new evolving fuzzy-rule-based algorithm for online data streams, named Extreme Value evolving Predictor (EVeP). It offers a statistically well-founded approach to defining the evolving fuzzy granules that form the antecedent a
Autor:
Betania S. C. Campello, Amanda O. C. Ayres, Washington Alves de Oliveira, Carla T. L. S. Ghidini
Publikováno v:
OR Spectrum. 43:1047-1076
In this paper, a framework that addresses the core of the papermaking process is proposed, starting from the production of jumbos and ending with the paper sheets used in daily life. The first phase of the process is modelled according to a lot-sizin
Autor:
Carla T. L. S. Ghidini, Betania S. C. Campello, Amanda O. C. Ayres, Washington Alves de Oliveira
Publikováno v:
TOP. 30:194-220
Cutting stock problems arise in manufacturing industries where large objects need to be cut into smaller pieces. The cutting process usually results in a waste of material; thus, mathematical optimization models are used to reduce losses and take eco
Publikováno v:
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Publikováno v:
Evolving Systems. 12:407-422
This paper converts the online learning framework denoted FBeM (Fuzzy set Based evolving Modeling) to an online multitask learning evolving system. FBeM is data flow driven and recursively updates information granules that can be interpreted as the a
Autor:
Washington Alves de Oliveira, Betania S. C. Campello, Amanda O. C. Ayres, Carla T. L. S. Ghidini
Publikováno v:
Journal of the Operational Research Society. 71:1466-1478
In recent years, researchers have investigated a variety of approaches to integrating lot sizing and cutting stock problems due to their high importance in the manufacturing industry. Although the ...
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030879853
ICAISC (1)
ICAISC (1)
This paper extends the evolving fuzzy-rule-based algorithm denoted Extreme Value evolving Predictor (EVeP) to deal with multivariate time series. EVeP offers a statistically well-founded approach to the online definition of the fuzzy granules at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ea2685e608d7ceed1080f1dacfd938
https://doi.org/10.1007/978-3-030-87986-0_25
https://doi.org/10.1007/978-3-030-87986-0_25
Publikováno v:
FUZZ-IEEE
This paper introduces two novel contributions to the online learning algorithm called Fuzzy set Based evolving Modeling with Multitask Learning (FBeM_MTL), the first algorithm in the literature to consider multitask learning in the context of data st
Autor:
Ayres, Amanda O. C.1 (AUTHOR) amanda@dca.fee.unicamp.br, Campello, Betania S. C.1 (AUTHOR), Oliveira, Washington A.1 (AUTHOR), Ghidini, Carla T. L. S.1 (AUTHOR)
Publikováno v:
OR Spectrum. Dec2021, Vol. 43 Issue 4, p1047-1076. 30p.
Publikováno v:
IEEE Transactions on Fuzzy Systems; Mar2022, Vol. 30 Issue 3, p663-675, 13p