Results 31 to 40 of about 4,498 (200)
Guiding Neuroevolution with Structural Objectives [PDF]
Evolutionary Computation, 2020 Abstract The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution with additional objectives related to network structure has been shown to improve performance in some cases ...
Ellefsen, Kai Olav +2 more
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Complexity, 2019 Neuroevolution is the field of study that uses evolutionary computation in order to optimize certain aspect of the design of neural networks, most often its topology and hyperparameters.
Alejandro Baldominos +2 more
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The Evolution of Neuroplasticity and the Effect on Integrated Information
Entropy, 2019 Information integration theory has been developed to quantify consciousness. Since conscious thought requires the integration of information, the degree of this integration can be used as a neural correlate (Φ) with the intent to measure degree of ...
Leigh Sheneman +2 more
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Scaling MAP-Elites to deep neuroevolution [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 Accepted to GECCO ...
Colas, Cédric +3 more
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Genotype dynamic for agent neuroevolution in artificial life model
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2017 Cooperation behavior is one of the most used and spread Multi-agent system feature. In some cases emergence of this behaviour can be characterized by division of population on co-evolving subpopulations [1], [2].
Valentine V. Zavertanyy, A. S. Makarenko
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Towards hardware acceleration of neuroevolution for multimedia processing applications on mobile devices [PDF]
, 2006 This paper addresses the problem of accelerating large artificial neural networks (ANN), whose topology and weights can evolve via the use of a genetic algorithm.
A.R. Omondi +10 more
core +1 more source
Neuroevolution-Based Efficient Field Effect Transistor Compact Device Models
IEEE Access, 2021 Artificial neural networks (ANN) and multilayer perceptrons (MLP) have proved to be efficient in terms of designing highly accurate semiconductor device compact models (CM).
Ya-Wen Ho +6 more
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Towards Behavioral Consistency in Neuroevolution [PDF]
, 2012 To survive in its environment, an animat must have a be-havior that is not too disturbed by noise or any other distractor. Itsbehavior is supposed to be relatively unchanged when testedon similarsituations. Evolving controllers that are robust and generalize well oversimilar contexts remains a challenge for several reasons.
Ollion, Charles, Doncieux, Stéphane
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Application of Neuroevolution in Autonomous Cars [PDF]
, 2021 With the onset of Electric vehicles, and them becoming more and more popular, autonomous cars are the future in the travel/driving experience. The barrier to reaching level 5 autonomy is the difficulty in the collection of data that incorporates good driving habits and the lack thereof.
G. Sainath +3 more
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JOIV: International Journal on Informatics Visualization, 2021 Diabetes in Indonesia has been perceived as a grave health problem and has been a concern since the early 1980’s [2]. The prevalence of diabetes in adults in Indonesia, as stated by IDF, was 6.2% with the total case amounting to 10.681.400.
A.B.M. Wijaya +3 more
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