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Novel tracking function of moving target using chaotic dynamics in a recurrent neural network model
Chaotic dynamics introduced in a recurrent neural network model is applied to controlling an object to track a moving target in two-dimensional space, which is set as an ill-posed problem. The motion increments of the object are determined by a group of motion functions calculated in real time with...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer Netherlands
2007
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2289250/ https://ncbi.nlm.nih.gov/pubmed/19003472 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-007-9029-6 |
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