Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905822 | Applied Soft Computing | 2014 | 14 Pages |
Abstract
- For the first time, stochastic numerical treatment of Pantograph functional differential equations is presented.
- Development of neural networks mathematical modeling in an unsupervised manner.
- Obtaining reliable and accurate solutions with trained neural networks optimized with hybrid computational intelligence algorithms.
- Validation of accuracy and convergence based on sufficient large number of simulations in term of various performance operators.
- Comparing the performance of artificial intelligence algorithms applied to various nonlinear boundary value problems.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Muhammad Asif Zahoor Raja,