Autor: Nelles, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Showcases of industrial symbiosis related to anaerobic digestion at the project UBIS
Autorzy:: Schmedemann, K.
Sprafke, J.
Nelles, M.
Schüch, A.
Powiązania:: https://bibliotekanauki.pl/articles/1190133.pdf
Data publikacji:: 2019
Wydawca:: Gdańska Szkoła Wyższa
Tematy:: industrial symbioses
ecosystem
greenhouse gas emissions
by-products
municipal waste
Opis:: Industrial symbioses are intended to minimize greenhouse gas emissions, conserve resources and avoid waste through closed material cycles. The waste and residual materials of one actor become the resource of the other. The better use of raw materials can lead to cost and competitive advantages for the involved partners. The UBIS project investigates the realization of such industrial symbioses. Two showcases from the project region with focus on anaerobic digestion illustrate the effectiveness of industrial symbioses.
Źródło:: Eco-Energetics: technologies, environment, law and economy; 2019, 2; 123--128
2657-5922
2657-7674
Pojawia się w:: Eco-Energetics: technologies, environment, law and economy
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Comparision of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models
Autorzy:: Nelles, O.
Fink, A.
Babuska, R.
Setnes, M.
Powiązania:: https://bibliotekanauki.pl/articles/911156.pdf
Data publikacji:: 2000
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: modelowanie
identyfikacja
model rozmyty
turbosprężarka doładowująca
modeling
identification
Takagi-Sugeno fuzzy models
local linear models
turbocharger
Opis:: This paper compares two different approaches to the construction of Takagi-Sugeno fuzzy models from data. These models approximate nonlinear systems by means of interpolation between local linear models. The main issue in the construction of Takagi-Sugeno models is the decomposition of the operating space into validity regions for the local models. The way this decomposition is done influences the complexity, accuracy and transparency of the obtained model. The first of the presented methods, the local linear model tree (LOLIMOT) algorithm generates incrementally the fuzzy model by axis-orthogonal decomposition of the input space. In the other method, product-space fuzzy clustering (the Gustafson-Kessel algorithm) is used to partition the available data into fuzzy subsets. The fundamental advantages and drawbacks of both the alternative strategies are pointed out. Their properties and real-world applicability are illustrated by building a dynamic model of a truck Diesel engine turbocharger.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2000, 10, 4; 835-855
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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