Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Janusz Kasperkiewicz"'
Autor:
D. Zalocha, Janusz Kasperkiewicz
Publikováno v:
Cement and Concrete Research. 35:2041-2046
This paper describes the possibilities of estimating the structure of concrete with the help of automatic image analysis using a high-resolution flatbed scanner. Sample preparation techniques and components of the image analysis system are described.
Publikováno v:
Journal of Computing in Civil Engineering. 13:123-128
The presented method of image analysis is aimed at the evaluation of aggregate grain shape for concrete mixes and other civil engineering purposes. Standard procedure of the aggregate shape evaluation (ASTM) involves manual, troublesome measurements
Publikováno v:
Journal of Computing in Civil Engineering. 9:279-284
An artificial neural network of the fuzzy-ARTMAP type was applied for predicting strength properties of high-performance concrete (HPC) mixes. Composition of HPC was assumed simplified, as a mixture of six components (cement, silica, superplasticizer
Autor:
Janusz Kasperkiewicz, Maria Marks
Publikováno v:
Computational Science – ICCS 2008 ISBN: 9783540693888
ICCS (3)
ICCS (3)
The software agents are applied for a remote search of information. It seems natural that to analyse such information machine learning routines should be built-in into an agent system. After finding and processing the data the generated rules will be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::464f06772374dece100dac0ad0b8d08a
https://doi.org/10.1007/978-3-540-69389-5_78
https://doi.org/10.1007/978-3-540-69389-5_78
Publikováno v:
Advances in Construction Materials 2007 ISBN: 9783540724476
Knowledge of the tension softening process of concrete is essential to understand fracture mechanisms, to analyze fracture behaviour and to evaluate the properties of concrete. Many different tests on uniaxial tension with elimination of secondary fl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f0f827b33ca925e9d8bdc030392558e
https://doi.org/10.1007/978-3-540-72448-3_73
https://doi.org/10.1007/978-3-540-72448-3_73
The paper is dedicated to presentation of possibilities of Machine Learning techniques, (ML), in uniaxial tension tests on brittle matrix composites. This method enables extracting in an automatic way the knowledge hidden in examples. Concrete is wea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6549c5807de4218a3fc34cdfa122a071
https://doi.org/10.1533/9780857093080.195
https://doi.org/10.1533/9780857093080.195
Autor:
Dariusz Alterman, Janusz Kasperkiewicz
Publikováno v:
Intelligent Information Processing and Web Mining ISBN: 9783540008439
IIS
IIS
Civil Engineering technological data are naturally clustered in a specific way. A black-box model of relation between concrete composition and concrete properties can be constructed using a suitable artificial neural network like Fuzzy ARTMAP that wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0ab86b62bbfd01bfdfc4415b520c378
https://doi.org/10.1007/978-3-540-36562-4_27
https://doi.org/10.1007/978-3-540-36562-4_27
Autor:
Janusz Kasperkiewicz
Publikováno v:
ACI Materials Journal. 91
Autor:
Janusz Kasperkiewicz
Publikováno v:
Composite Structures. 12:156-158
Publikováno v:
Brittle Matrix Composites 2 ISBN: 9789401076487
Brittle Matrix Composites 2
Brittle Matrix Composites 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d91359355fb264c403ae78cb378b136
https://doi.org/10.1007/978-94-009-2544-1_52
https://doi.org/10.1007/978-94-009-2544-1_52