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Self-Optimization in Continuous-Time Recurrent Neural Networks
A recent advance in complex adaptive systems has revealed a new unsupervised learning technique called self-modeling or self-optimization. Basically, a complex network that can form an associative memory of the state configurations of the attractors on which it converges will optimize its structure:...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805835/ https://www.ncbi.nlm.nih.gov/pubmed/33500975 http://dx.doi.org/10.3389/frobt.2018.00096 |