Numerical solutions to the Witsenhausen counterexample by approximating networks
β Scribed by Baglietto, M.; Parisini, T.; Zoppoli, R.
- Book ID
- 118065446
- Publisher
- IEEE
- Year
- 2001
- Tongue
- English
- Weight
- 293 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0018-9286
- DOI
- 10.1109/9.948480
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## Abstract The aim of this article is to study the parabolic inverse problem of determination of the leading coefficient in the heat equation with an extra condition at the terminal. After introducing a new variable, we reformulate the problem as a nonclassical parabolic equation along with the in
We present a method to solve boundary value problems using artificial neural networks (ANN). A trial solution of the differential equation is written as a feed-forward neural network containing adjustable parameters (the weights and biases). From the differential equation and its boundary conditions