Skip to content

References

Dietmar W. Weiss edited this page Mar 12, 2024 · 23 revisions

Libraries

MGA18

K. Arendt: Modestga, Genetic Algorithm with a Scipy-like interface, 2018-, [Online; accessed 2018-06-03], github

MIN80

J. J. Moré, B. S. Garbow, and K. E. Hillstrom: The MINPACK project, 1980-, wikipedia.org/wiki/MINPACK [Online; accessed 2018-01-08], Pdf

MPI18

MPI Forum: Message Passing Interface, mpi-forum.org [Online; accessed 2018-03-14]

NLB15

E. Zuev: Neurolab, 2015-02-06, pypi.python.org/pypi/neurolab [Online; accessed 2018-01-23]

PAS24

A. Paszke, S. Gross, S. Chintala, G. Chanan: PyTorch, 2024-03-12, github.com/pytorch [Online; accessed 2024-03-12]

PYF10

Modelon AB: PyFMI on jmodelica.org, 2010-, [Online; accessed 2018-04-26], Pdf

SCI18

SciPy: Open Source Scientific Tools for Python, 2001-, scipy.org [Online; accessed 2018-01-08], Html

UMF14

R. Cimrman: Scikit-Umfpack, 2014-, pypi.org/project/scikit-umfpack [Online; accessed 2018-05-25]


Publications

ABA15

M. Abadi et al: TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, 2015, [Online; accessed 2020-02-03], Pdf

BAC11

P. Bacher, H. Madsen: Identifying suitable models for the heat dynamics of buildings, Energy and Buildings 43 (2011) 1511–1522, Pdf

BOH06

T. P. Bohlin: Practical grey-box process identification, Theory and applications (Advances in industrial control), Springer (London), 2006, ISBN: 978-1-846-28402-1

CHO18

F. Chollet: Deep learning with Python, Manning Publications Co, Shelter Island, NY, 2018, Pdf

FMI10

Modelica Association: Functional Mock-up Interface (FMI), 2010-, fmi-standard.org [Online; accessed 2018-04-26]

HAU08

J. Hauth: Grey Box Modelling for Nonlinear Systems. PhD thesis, Technische Universität Kaiserslautern, 2008, Pdf

LJU01

L. Ljung: Black-box Models from Input-output Measurements, Proc. of IEEE Instrumentation and Measurement Technology Conference, Budapest, Hungary, 2001, Pdf

LJU10

L. Ljung: Approaches to Identification of Nonlinear Systems. Proc. of 29th Chinese Control Conference, 2010, Pdf

SCH07

C, Schwenk, M.Rethmeier and D. Weiss: Rapid generation of temperature fields for simulation of welding distortions, H. Cerjak, H.K.D.H. Bhadeshia, E. Kozeschnik. (Eds.): Mathematical Modelling of Weld Phenomena 8, 2007, Verlag der Technischen Universität Graz, Pdf

VAL09

K. Valen-Sendstad, H. P. Langtangen, B. A. Pettersson Reif, K. A. Mardal: Implementing a k-epsilon Turbulence Model in the FEniCS FiniteElement Programming Environment, Proc. of Fifth National Conference on Computational Mechanics (MekIT'09), 2009, Pdf, Code

VAR11

G. Varoquaux et al: Scipy Lecture Notes, 2011-, scipy-lectures.org, [Online; accessed 2018-05-25]

WEI07

D. Weiss, K. H. Christensen and J. K. Kristensen: Computerized calibration of thermo-mechanical welding models, H. Cerjak, H.K.D.H. Bhadeshia, E. Kozeschnik. (Eds.): Mathematical Modelling of Weld Phenomena 8, 2007, Verlag der Technischen Universität Graz, pp. 469-484, Pdf

WEI17

D. W. Weiss: Error compensation in flow meters, DANSIS Seminar on Flow Metering, Skanderborg, 2017, Pdf

WHI94

B. Whiten: Determination of parameter relations within non-linear models, Signum Newsletter, Special Interest Group on Numerical mathematics, Vol. 29, No. 3 & 4, 1994, ACM Press, pp. 2-5

WHI13

B. Whiten: Model completion and validation using inversion of grey box models, ANZIAM J., 54 (CTAC 2012) pp. C187–C199, 2013, Pdf

WIK18

Wikipedia: Grey box model. Wikimedia Foundation, en.wikipedia.org/wiki/Grey_box_model [Online; accessed 2018-03-28]


Clone this wiki locally