Results 121 to 130 of about 1,570 (213)

Designing Deep Neural Networks through Neuroevolution

open access: yes
This study investigated the designing of deep neural networks using novel neuroevolution models. Advanced algorithms were applied to three real-world problems including energy and medicine applications.
Seyed Mohammad Jafar Jalali (13436616)
core  

Towards Physical Plausibility in Neuroevolution Systems

open access: yes
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   +3 more sources

Complex computation from developmental priors. [PDF]

open access: yesNat Commun, 2023
Barabási DL   +3 more
europepmc   +1 more source

Leveraging network motifs to improve artificial neural networks. [PDF]

open access: yesNat Commun
Zhang H   +6 more
europepmc   +1 more source

Neuroevolution algorithm neat on graphics cards

open access: yes, 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
core  

Reinforcement learning of a biflagellate model microswimmer. [PDF]

open access: yesEur Phys J E Soft Matter
Bulusu S, Zöttl A.
europepmc   +1 more source

Editorial: Marine invertebrates: neurons, glia, and neurotransmitters

open access: yesFrontiers in Neural Circuits, 2023
Tatiana N. Olivares-Bañuelos   +1 more
doaj   +1 more source

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