Deep Neural Network for Solving Stochastic Biological Systems
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40995-023-01562-z.pdf
Reference47 articles.
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3. Barikbin MS, Vahidi AR, Damercheli T, Babolian E (2020) An iterative shifted Chebyshev method for nonlinear stochastic Itô-Volterra integral equations. J Comput Appl Math 378:112912
4. Chakraverty S, Mall S (2017) Artificial neural networks for engineers and scientists: solving ordinary differential equations. CRC Press, Boca Raton
5. Dareiotis K, Leahy JM (2016) Finite difference schemes for linear stochastic integro-differential equations. Stoch Processes Appl 126(10):3202–3234
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