Results 131 to 140 of about 1,570 (213)

qNEP: A Highly Efficient Neuroevolution Potential with Dynamic Charges for Large-Scale Atomistic Simulations. [PDF]

J Chem Theory Comput
Fan Z, Tang B, Berger E, Berger E, Fransson E, Xu K, Yan Z, Liu Z, Song Z, Dong H, Chen S, Li L, Wang Z, Zhu Y, Wiktor J, Erhart P.   +15 more
europepmc   +1 more source

Leveraging a Neuroevolutionary Approach for Classifying Violent Behavior in Video. [PDF]

Comput Intell Neurosci, 2022
Flores-Munguía C, Ortiz-Bayliss JC, Terashima-Marín H.   +2 more
europepmc   +1 more source

Decision making in robot soccer using neuroevolution

, 2013
Während eines Fußballspiels befinden sich die Spieler einer Mannschaft in einer Reihe unterschiedlicher Spielsituationen. Jede dieser Spielsituationen erfordert die Ausführung einer Aktion, die der Spieler autonom bestimmen muss.
Oberhauser, Arthur
core  

Neuroevolution insights into biological neural computation. [PDF]

Science
Miikkulainen R.
europepmc   +1 more source

Coal and gas outburst prediction based on data augmentation and neuroevolution. [PDF]

PLoS One
Shi W, Huang J, Yang G, Su S, Jiang S.
europepmc   +1 more source

Use and Comparison of Machine Learning Techniques to Discern the Protein Patterns of Autoantibodies Present in Women with and without Breast Pathology. [PDF]

J Proteome Res
Llaguno-Roque JL, Barrientos-Martínez RE, Acosta-Mesa HG, Barranca-Enríquez A, Mezura-Montes E, Romo-González T.   +5 more
europepmc   +1 more source

Forecasting Modelling for Early Detection of Heart Diseases Utilizing The Machine Learning Neuroevolution Model.

Heart disease remains as a leading cause of mortality worldwide, even with the current advances in medical technology, it highlights the need for early detection to prevent or mitigate complications in the future.
Hadiprayitno, Nadhif Bhagawanta
core  

Solving Non-Markovian Control Tasks with Neuroevolution

, 2008
The success of evolutionary methods on standard control learning tasks has created a need for new benchmarks. The classic pole balancing problem is no longer difficult enough to serve as a viable yardstick for measuring the learning efficiency of these ...

core  

Neuroevolution of Augmenting Topologies: Neuronale Entwicklung einer künstlichen Intelligenz für Spiele

, 2016
Die vorliegende Arbeit hat die Entwicklung einer künstlichen Intelligenz mittels Neuroevolution zum Ziel. Dazu werden zunächst die grundlegenden Techniken und Konzepte zum Verständnis der Methode Neuroevolution of augmenting topologies vorgestellt ...
Jandl, Stefan
core  

Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Zenin MS, Devyaterikov AP, Palyanov AY.
europepmc   +1 more source