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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:...
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| I publikationen: | Front Robot AI |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805835/ https://ncbi.nlm.nih.gov/pubmed/33500975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2018.00096 |
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