Projection Recurrent Neural Network Model: A New Strategy to Solve Weapon-Target Assignment Problem
| Autor: | Amin Mansoori, Majid Erfanian, Ali Nakhaei Amroudi, Ali Reza Shojaeifard |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer Networks and Communications Computer science business.industry General Neuroscience Computer Science::Neural and Evolutionary Computation Complex system Computational intelligence 02 engineering and technology 020901 industrial engineering & automation Recurrent neural network Exponential stability Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Projection (set theory) Recurrent neural network model Software Weapon target assignment problem |
| Zdroj: | Neural Processing Letters. 50:3045-3057 |
| ISSN: | 1573-773X 1370-4621 |
| DOI: | 10.1007/s11063-019-10068-y |
| Popis: | In the present research, we are going to obtain the solution of the Weapon-Target Assignment (WTA) problem. According to our search in the scientific reported papers, this is the first scientific attempt for resolving of WTA problem by projection recurrent neural network (RNN) models. Here, by reformulating the original problem to an unconstrained problem a projection RNN model as a high-performance tool to provide the solution of the problem is proposed. In continuous, the global exponential stability of the system was proved in this research. In the final step, some numerical examples are presented to depict the performance and the feasibility of the method. Reported results were compared with some other published papers. |
| Databáze: | OpenAIRE |
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