ITM Web Conf.
Volume 9, 2017The 2016 International Conference Applied Mathematics, Computational Science and Systems Engineering
|Number of page(s)||5|
|Published online||09 January 2017|
The application of an artificial immune system for solving the identification problem
1 Department of Applied Mathematics and Informatics, Voronezh State University, Voronezh 394018, Russia
2 Department of Information Systems Design in Civil Engineering, Voronezh State Technical University, Voronezh 394006, Russia
Ecological prognosis sets the identification task, which is to find the capacity of pollution sources based on the available experimental data. This problem is an inverse problem, for the solution of which the method of symbolic regression is considered. The distributed artificial immune system is used as an algorithm for the problem solving. The artificial immune system (AIS) is a model that allows solving various problems of identification, its concept was borrowed from biology. The solution is sought using a distributed version of the artificial immune system, which is implemented through a network. This distributed network can operate in any heterogeneous environment, which is achieved through the use of cross-platform Python programming language. AIS demonstrates the ability to restore the original function in the problem of identification. The obtained solution for the test data is represented by the graph.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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