Results 21 to 30 of about 228,705 (301)
Identification of Evolving Rule-based Models. [PDF]
, 2002 An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning.
Angelov, Plamen, Buswell, Richard
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Incremental Fuzzy Association Rule Mining for Classification and Regression
IEEE Access, 2019 The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real time.
Ling Wang, Qian Ma, Jianyao Meng
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An artificial immune system for fuzzy-rule induction in data mining [PDF]
, 2004 This work proposes a classification-rule discovery algorithm integrating artificial immune systems and fuzzy systems. The algorithm consists of two parts: a sequential covering procedure and a rule evolution procedure.
A.A. Freitas +11 more
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Genetic fuzzy system for prediction of respiratory rate of chicks subject to thermal challenges
Revista Brasileira de Engenharia Agrícola e AmbientalThe aim of this study was to estimate and compare the respiratory rate (breath min-1) of broiler chicks subjected to different heat intensities and exposure durations for the first week of life using a Fuzzy Inference System and a Genetic Fuzzy Rule ...
Patrícia F. P. Ferraz +5 more
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A Modular Programmable CMOS Analog Fuzzy Controller Chip [PDF]
, 1999 We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital programmability. This chip consists of the interconnection of parameterized instances of two different kind of blocks, namely label blocks and rule blocks. The
Delgado Restituto, Manuel +3 more
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An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules [PDF]
International Journal of Computational Intelligence Systems, 2012 Fuzzy modelling research has traditionally focused on certain types of fuzzy rules. However, the use of alternative rule models could improve the ability of fuzzy systems to represent a specific problem.
Antonio González +3 more
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Penelitian penentuan calon bantuan siswa miskin ini di Sekolah Dasar Negeri 37 Bengkulu Selatan. Masalah yang terjadi ada ketidaksesuaian dari hasil output dalam pemberian bantuan siswa miskin, belum digunakannya metode keputusan untuk setiap kriteria ...
Riolandi Akbar, Shofwatul 'Uyun
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Human Fall Detection Using Machine Learning Methods: A Survey [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Human fall due to an accident can cause heavy injuries which may lead to a major medical issue for elderly people. With the introduction of new advanced technologies in the healthcare sector, an alarm system can be developed to detect a human fall.
Komal Singh +2 more
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Industrial application of fuzzy systems; adaptive fuzzy control of solder paste stencil printing [PDF]
, 2003 This paper presents an adaptive fuzzy control algorithm for the control of the solder paste stencil printing stage of surface mount printed circuit board assembly.
Howarth, M, Lotfi, A
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Fuzzy Meta-Association Rules [PDF]
Advances in Intelligent Systems Research, 2015 Association rules is a useful tool to extract new information from raw data expressed in a comprehensive way for decision makers. However, in some applications raw data might not be available for several reasons. First, stream data are only temporarily available for their processing or if it is stored, only summaries or representations of the extracted
M. Dolores Ruiz +4 more
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