The Control Data Method: A New Method of Modeling in Population Dynamics
A novel modeling method for population dynamics is developed. Based on the classical Lotka-Volterra model, we construct a new predator-prey model with unknown parameters to simulate the behaviors of predator and prey. Using a the approximation property and the machine learning approach of artificial...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/326161 |
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| Summary: | A novel modeling method for population dynamics is developed. Based on
the classical Lotka-Volterra model, we construct a new predator-prey model with unknown
parameters to simulate the behaviors of predator and prey. Using a the approximation property
and the machine learning approach of artificial neural networks, a tuning algorithm of unknown
parameters is obtained and the factual data of predator-prey can be asymptotically stabilized
using a neural network controller. Numerical examples and analysis of the results are presented. |
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| ISSN: | 1110-757X 1687-0042 |