Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Delft University of Technology" +contributor:("Borovykh, Anastasia"). Showing records 1 – 4 of 4 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Delft University of Technology

1. van der Meer, Remco (author). Solving Partial Differential Equations with Neural Networks.

Degree: 2019, Delft University of Technology

Recent works have shown that neural networks can be employed to solve partial differential equations, bringing rise to the framework of physics informed neural networks.The… (more)

Subjects/Keywords: Partial Differential Equations; Neural Networks; Deep Learning; numerical methods

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van der Meer, R. (. (2019). Solving Partial Differential Equations with Neural Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c77e1bcc-7212-4234-af34-6586b628ab1c

Chicago Manual of Style (16th Edition):

van der Meer, Remco (author). “Solving Partial Differential Equations with Neural Networks.” 2019. Masters Thesis, Delft University of Technology. Accessed December 05, 2020. http://resolver.tudelft.nl/uuid:c77e1bcc-7212-4234-af34-6586b628ab1c.

MLA Handbook (7th Edition):

van der Meer, Remco (author). “Solving Partial Differential Equations with Neural Networks.” 2019. Web. 05 Dec 2020.

Vancouver:

van der Meer R(. Solving Partial Differential Equations with Neural Networks. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://resolver.tudelft.nl/uuid:c77e1bcc-7212-4234-af34-6586b628ab1c.

Council of Science Editors:

van der Meer R(. Solving Partial Differential Equations with Neural Networks. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:c77e1bcc-7212-4234-af34-6586b628ab1c


Delft University of Technology

2. Hoogendoorn, Jasper (author). Sequential Monte Carlo method for training Neural Networks on non-stationary time series.

Degree: 2019, Delft University of Technology

In this thesis, we study the sequential Monte Carlo method for training neural networks in the context of time series forecasting. Sequential Monte Carlo can… (more)

Subjects/Keywords: sequential Monte Carlo; Neural Networks; Time Series Forecasting; Convolutional Neural Network

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hoogendoorn, J. (. (2019). Sequential Monte Carlo method for training Neural Networks on non-stationary time series. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:659e9fd5-d251-46fe-8455-3a17bdd4f48c

Chicago Manual of Style (16th Edition):

Hoogendoorn, Jasper (author). “Sequential Monte Carlo method for training Neural Networks on non-stationary time series.” 2019. Masters Thesis, Delft University of Technology. Accessed December 05, 2020. http://resolver.tudelft.nl/uuid:659e9fd5-d251-46fe-8455-3a17bdd4f48c.

MLA Handbook (7th Edition):

Hoogendoorn, Jasper (author). “Sequential Monte Carlo method for training Neural Networks on non-stationary time series.” 2019. Web. 05 Dec 2020.

Vancouver:

Hoogendoorn J(. Sequential Monte Carlo method for training Neural Networks on non-stationary time series. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://resolver.tudelft.nl/uuid:659e9fd5-d251-46fe-8455-3a17bdd4f48c.

Council of Science Editors:

Hoogendoorn J(. Sequential Monte Carlo method for training Neural Networks on non-stationary time series. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:659e9fd5-d251-46fe-8455-3a17bdd4f48c


Delft University of Technology

3. Jonker, Hendrik (author). Valuation of natural gas storage contracts with the COS method.

Degree: 2019, Delft University of Technology

 Since the liberalization of the energy markets, the storage of energy is decoupled from the production and sales. In Western-Europe the storage of natural gas… (more)

Subjects/Keywords: COS method; Gas storage valuation; Adjoint expansion

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jonker, H. (. (2019). Valuation of natural gas storage contracts with the COS method. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2a29f2c2-20c1-4a6e-8a7e-bb05662fd844

Chicago Manual of Style (16th Edition):

Jonker, Hendrik (author). “Valuation of natural gas storage contracts with the COS method.” 2019. Masters Thesis, Delft University of Technology. Accessed December 05, 2020. http://resolver.tudelft.nl/uuid:2a29f2c2-20c1-4a6e-8a7e-bb05662fd844.

MLA Handbook (7th Edition):

Jonker, Hendrik (author). “Valuation of natural gas storage contracts with the COS method.” 2019. Web. 05 Dec 2020.

Vancouver:

Jonker H(. Valuation of natural gas storage contracts with the COS method. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://resolver.tudelft.nl/uuid:2a29f2c2-20c1-4a6e-8a7e-bb05662fd844.

Council of Science Editors:

Jonker H(. Valuation of natural gas storage contracts with the COS method. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:2a29f2c2-20c1-4a6e-8a7e-bb05662fd844


Delft University of Technology

4. Verberne, Stijn (author). Estimating model uncertainty for conditional prepayment rate predictions using artificial neural networks with dropout.

Degree: 2019, Delft University of Technology

Clients with a mortgage loan may prepay a part of their loan before the contractual date. This is called prepayment. In the case of a… (more)

Subjects/Keywords: Artificial Neural Networks; Dropout; Uncertainty; Mortgages; Conditional Prepayment Rate

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Verberne, S. (. (2019). Estimating model uncertainty for conditional prepayment rate predictions using artificial neural networks with dropout. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:69fbfb01-a0a1-47f2-aa38-a0d93e0eb330

Chicago Manual of Style (16th Edition):

Verberne, Stijn (author). “Estimating model uncertainty for conditional prepayment rate predictions using artificial neural networks with dropout.” 2019. Masters Thesis, Delft University of Technology. Accessed December 05, 2020. http://resolver.tudelft.nl/uuid:69fbfb01-a0a1-47f2-aa38-a0d93e0eb330.

MLA Handbook (7th Edition):

Verberne, Stijn (author). “Estimating model uncertainty for conditional prepayment rate predictions using artificial neural networks with dropout.” 2019. Web. 05 Dec 2020.

Vancouver:

Verberne S(. Estimating model uncertainty for conditional prepayment rate predictions using artificial neural networks with dropout. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://resolver.tudelft.nl/uuid:69fbfb01-a0a1-47f2-aa38-a0d93e0eb330.

Council of Science Editors:

Verberne S(. Estimating model uncertainty for conditional prepayment rate predictions using artificial neural networks with dropout. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:69fbfb01-a0a1-47f2-aa38-a0d93e0eb330

.