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Neural network solution of pantograph type differential equations |
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| Authors: | Chih-Chun Hou Theodore E. Simos Ioannis Th. Famelis |
| Affiliation: | 1. Yulin Normal University, Yulin, 537000 China;2. South Ural State University, 76, Lenin Aven., Chelyabinsk, 454080 Russia;3. Department of Electrical and Electronic Engineering, microSENSES Laboratory, Athens, Greece |
| Abstract: | We investigate the approximate solution of pantograph type functional differential equations using neural networks. The methodology is based on the ideas of Lagaris et al, and itis applied to various problems with a proportional delay term subject to initial or boundary conditions. The proposed methodology proves to be very efficient. |
| Keywords: | approximate solutions neural networks pantograph equations |