Temat: FPA - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Ensembling a linear regression model with an error mitigation component
Autorzy:: Nowosielski, A.
Kowalski, P. A.
Kulczycki, P.
Powiązania:: https://bibliotekanauki.pl/articles/950759.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: ensemble model
error mitigation
regression model
linear regression
FPA
RSS
RSE
model regresji
regresja liniowa
Opis:: This paper presents a proposal of a model error mitigation technique based on the error distribution analysis of the original model and creatng the additional model that tempers the error impact in particular domain areas identified as the most sensitive. both models are then combined into single ensemble model. The idea is demonstrated on the trivial two-dimensional linear regression model.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 1; 40-43
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Optimization of membership function parameters for fuzzy controllers of an autonomous mobile robot using the flower pollination algorithm
Autorzy:: Carvajal, O. R.
Castillo, O.
Soria, J.
Powiązania:: https://bibliotekanauki.pl/articles/385152.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Flower Pollination Algorithm
FPA
membership functions
optimization problems
fuzzy system
algorytm zapylenia kwiatowego
problemy optymalizacyjne
system rozmyty
Opis:: In this work we describe the optimization of a Fuzzy Logic Controller (FLC) for an autonomous mobile robot that needs to follow a desired path. The FLC is for the simulation of its trajectory, the parameters of the membership functions of the FLC had not been previously optimized. We consider in this work with the flower pollination algorithm (FPA) as a method for optimizing the FLC. For this reason, we use the FPA to find the best parameters with the objective of minimizing the error between the trajectory of the robot and the reference. A comparative study of results with different metaheuristics is also presented in this work.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 1; 44-49
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

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