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
β¦ LIBER β¦
Numerical solution of the neutron transport equation using cellular neural networks
β Scribed by Mehrdad Boroushaki
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 728 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0306-4549
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