Neuroevolution of augmenting topologies

Known as: NeuroEvolution by Augmented Topologies, NeuroEvolution of Augmented Topologies 
NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks (a neuroevolution… (More)
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Papers overview

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2018
2018
Teaching a computer to play video games has generally been seen as a reasonable benchmark for developing new AI techniques. In… (More)
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2018
2018
Sorting data into groups and clusters is one of the fundamental tasks of artificially intelligent systems. Classical clustering… (More)
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2017
2017
Human-like musculor-skeletal arm model with its unique smooth and natural movements as well as low energy cost has attracted many… (More)
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2016
2016
Nowadays artificial intelligence (AI) has been applied to many areas, including digital game with various genres. One of them is… (More)
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2016
2016
The study of proteins and the prediction of their three-dimensional structure is one of the most challenging problem in… (More)
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2016
2016
One of the main goals in developing an autonomous vehicle is programming the action of merging into the traffic lane from an… (More)
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2013
2013
In most real-world problems, we are dealing with large size datasets. Reducing the number of irrelevant/redundant features… (More)
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2012
2012
The use of numerical prediction models are essential to modern society. Data assimilation is a technique that aims to increase… (More)
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2006
2006
Appropriate topology and connection weight are two very important properties a neural network must have in order to successfully… (More)
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Highly Cited
2005
Highly Cited
2005
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that… (More)
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