THE USAGE OF DISTRIBUTED ARTIFICIAL IMMUNE SYSTEMS FOR SOLVING PROBLEMS OF IDENTIFICATION IN ECOLOGY
Keyword(s):
There is a problem of ecological forecasting identification which is finding power sources for the available experimental data. This task is an inverse problem, the solution of which will be considered by applying the method of symbolic regression. The artificial immune system (AIS) – a model that allows you to solve various problems of recognition, its concept was borrowed from biology. This distributed network can operate in any heterogeneous environment, which is achieved through the use of cross-platform programming language Python. AIS demonstrates the ability to restore the original function in the identification problem, a plot of the solution for test data is presented.
2021 ◽
2012 ◽
Vol 21
(06)
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pp. 1250031
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2009 ◽
Vol 25
(25)
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pp. 159-164
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2018 ◽
Vol 8
(2)
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pp. 19
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