Neuroevolution algorithm neat on graphics cards [PDF]
, 2019 V magistrski nalogi naslavljamo problem implementacije algoritma NeuroEvolution of Augmenting Topologies (NEAT) za delovanje na grafičnih karticah. Algoritem NEAT je genetski algoritem za učenje razvijajočih nevronskih mrež.
Sitar, Blaž
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Editorial: Marine invertebrates: neurons, glia, and neurotransmitters
Frontiers in Neural Circuits, 2023 Tatiana N. Olivares-Bañuelos +1 more
doaj +1 more source
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. [PDF]
J Digit Imaging, 2023 Stember JN, Young RJ, Shalu H.
europepmc +1 more source
Towards Physical Plausibility in Neuroevolution Systems
The increasing usage of Artificial Intelligence (AI) models, especially Deep Neural Networks (DNNs), is increasing the power consumption during training and inference, posing environmental concerns and driving the need for more energy-efficient algorithms and hardware solutions.
Gabriel Cortês +2 more
openaire +5 more sources
NeuroAction: a neuroevolutionary approach to reinforcement learning for autonomous vehicles. [PDF]
Sci RepAboyeji E +3 more
europepmc +1 more source
Synergistic Zundel-Eigen mechanism for proton transport in protic ionic liquids unraveled by machine learning force fields and NMR spectra. [PDF]
Natl Sci RevLu J +6 more
europepmc +1 more source
Leveraging network motifs to improve artificial neural networks. [PDF]
Nat CommunZhang H +6 more
europepmc +1 more source
Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm. [PDF]
Evol Med Public Health, 2022 Saeidpour A, Rohani P.
europepmc +1 more source
Reinforcement learning of a biflagellate model microswimmer. [PDF]
Eur Phys J E Soft MatterBulusu S, Zöttl A.
europepmc +1 more source
Neuroevolution insights into biological neural computation. [PDF]
ScienceMiikkulainen R.
europepmc +1 more source