Pri klasičnem razvoju nevronskih mrež za uporabo na različnih področjih umetne inteligence se pogosto srečujemo s problemom določanja optimalne topologije nevronske mreže, ki ima velik vpliv na njeno kvaliteto.
Mađarić, Sašo
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Strong crystalline thermal insulation induced by extended antibonding states. [PDF]
Cheng R +6 more
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General-purpose machine-learned potential for 16 elemental metals and their alloys. [PDF]
Song K +27 more
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Penetration Depth Prediction of Infinity Shaped Laser Scanning Welding Based on Latin Hypercube Sampling and the Neuroevolution of Augmenting Topologies. [PDF]
Yin Y, Zhang C, Zhu T.
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Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections. [PDF]
Kang Kim H +5 more
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Lattice distortion leads to glassy thermal transport in crystalline Cs<sub>3</sub>Bi<sub>2</sub>I<sub>6</sub>Cl<sub>3</sub>. [PDF]
Zeng Z +7 more
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A morphotropic phase boundary in MA<sub>1-x</sub>FA<sub>x</sub>PbI<sub>3</sub>: linking structure, dynamics, and electronic properties. [PDF]
Hainer T +4 more
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Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning. [PDF]
Loyola-Jara B +2 more
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Editorial: Narrow and general intelligence: embodied, self-referential social cognition and novelty production in humans, AI and robots. [PDF]
Markose S +4 more
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Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization. [PDF]
Stember JN +13 more
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