Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Frank Lemke"'
Publikováno v:
Mathematics and Computers in Simulation. 128:42-54
In this paper, the parameter selection capabilities of the group method of data handling (GMDH) as an inductive self-organizing modelling method are used to construct sparse random sampling high dimensional model representations (RS-HDMR), from which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02bcc4d477e4514e153dce914c4147c
https://doi.org/10.1016/j.matcom.2016.04.005
https://doi.org/10.1016/j.matcom.2016.04.005
Autor:
Frank Lemke
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030010683
Self-organizing inductive modeling represented by the Group Method of Data Handling (GMDH) as an early implementation of Deep Learning is a proven and powerful data-driven modeling technology for solving ill-posed modeling problems as found in energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f612d552444f0e214ebd78e47dcbee2
https://doi.org/10.1007/978-3-030-01069-0_29
https://doi.org/10.1007/978-3-030-01069-0_29
Autor:
Frank Lemke
Publikováno v:
2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).
Self-organizing, inductive modeling (GMDH) is a proven and powerful data-driven modeling technology for solving ill-posed modeling problems as found in energy forecasting and other complex systems. It develops analytical, optimal complex, predictive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ac41fdbf7aaf415f273da1bae0102f
https://doi.org/10.1109/stc-csit.2018.8526706
https://doi.org/10.1109/stc-csit.2018.8526706
Autor:
Frank Lemke, Ulrich Bruening
Publikováno v:
IEEE Transactions on Nuclear Science. 60:3654-3660
This paper focuses on the design and concepts of the hierarchically structured Data Acquisistion (DAQ) network for the Compressed Baryonic Matter (CBM) experiment at the Facility for Antiproton and Ion Research (FAIR) in Darmstadt. Due to the limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e19d5ac5114fa58ff7b0e022e0c97d6
https://doi.org/10.1109/tns.2013.2272939
https://doi.org/10.1109/tns.2013.2272939
Publikováno v:
IEEE Transactions on Nuclear Science. 57:412-418
This paper focuses on the interconnection network used as a part of the Data Acquisition System of the Compressed Baryonic Matter experiment at the Facility for Antiproton and Ion Research in Darmstadt, Germany. This experiment will have special dema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2dc38ff60e6fc5cbbd766f13de36571
https://doi.org/10.1109/tns.2010.2042176
https://doi.org/10.1109/tns.2010.2042176
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 39:1080-1092
This paper presents an enhanced approach to predictive modeling for determining tool-wear in end-milling operations based on enhanced-group method of data handling (e-GMDH). Using milling input parameters (speed, feed, and depth-of-cut) and response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8907f07b56e57d9f83af49bd8dfcebe0
https://doi.org/10.1007/s00170-007-1296-1
https://doi.org/10.1007/s00170-007-1296-1
Publikováno v:
ACM SIGKDD Explorations Newsletter. 8:71-79
This paper outlines and implements a concept for developing alternative tools for toxicity modeling and prediction of chemical compounds to be used for evaluation and authorization purposes of public regulatory bodies to help minimizing animal tests,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f4f8d9088d6332c28773e8ff4122a07
https://doi.org/10.1145/1147234.1147245
https://doi.org/10.1145/1147234.1147245
Autor:
Filip Fratev, Martin Smieško, Jona Ines Fritz, Emilio Benfenati, Elena Lo Piparo, Frank Lemke, Paolo Mazzatorta
Publikováno v:
Journal of Agricultural and Food Chemistry. 54:1111-1115
The overall objective of this study is the ecotoxicological characterization of the benzoxazinone 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one (DIMBOA), the benzoxazolinones benzoxazolin-2-one (BOA) and 6-methoxybenzoxazolin-2-one (MBOA), and their t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64d7874a6f467b5ebf266507bab2a369
https://doi.org/10.1021/jf050918f
https://doi.org/10.1021/jf050918f
Autor:
Johann-Adolf Mueller, Frank Lemke
Publikováno v:
Systems Analysis Modelling Simulation. 43:1399-1408
Three self-organizing data mining technologies that employ complementary descriptive languages - parametric regression models (GMDH neural networks), fuzzy rules (self-organizing fuzzy rule induction), and similarity models (analog complexing based c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::567712d6515f0460ddadf50698d77653
https://doi.org/10.1080/02329290290027337
https://doi.org/10.1080/02329290290027337
Autor:
J.-A. Müller, Frank Lemke
Publikováno v:
Systems Analysis Modelling Simulation. 43:231-240
In the article is described the possibility to automate by means of application of self-organisation and other principles more or less the whole data mining process, what we have named self-organising data mining. There are different GMDH-based model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d8f94ae7c1b7baaca3f3b4f5a3eb8b2
https://doi.org/10.1080/0232929031000136135
https://doi.org/10.1080/0232929031000136135