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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Artificial neural networkC++Compositional pattern-producing networkEncog Machine Learning Framework
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Broader (1)

Evolutionary computation

Papers overview

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2018
2018
Playing SNES Games With NeuroEvolution of Augmenting Topologies
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
Clustering sensory inputs using NeuroEvolution of augmenting topologies
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
Neuroevolution of augmenting topologies based musculor-skeletal arm neurocontroller
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
Deduction of fighting game countermeasures using Neuroevolution of Augmenting Topologies
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
Predicting protein structural features with NeuroEvolution of Augmenting Topologies
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
Creating a Traffic Merging Behavior Using NeuroEvolution of Augmenting Topologies
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
Optimized feature selection using NeuroEvolution of Augmenting Topologies (NEAT)
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
Data assimilation using NeuroEvolution of Augmenting Topologies
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
NeuroEvolution of Augmenting Topologies with Learning for Data Classification
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
Real-time neuroevolution in the NERO video game
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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