NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm (GA) for generating evolving artificial neural networks (a neuroevolution technique)...
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computation NeuroEvolution of Augmenting Topologies (NEAT) HyperNEAT (A Generative version of NEAT) Evolutionary Acquisition of Neural Topologies (EANT/EANT2)...
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Records, a British record label Neuroevolution of augmenting topologies (NEAT), a genetic algorithm (GA) for the generation of evolving artificial neural networks...
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Kenneth Stanley (category University of Central Florida faculty)
former professor of computer science at the University of Central Florida known for creating the Neuroevolution of augmenting topologies (NEAT) algorithm...
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JPL to discover near-Earth objects Neuroevolution of augmenting topologies, a genetic algorithm for the generation of evolving artificial neural networks...
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the neuroevolution of augmenting topologies algorithm Nero (confectionery), a Norwegian liquorice-based dark chocolate confection Nero (yacht), one of the...
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optimal. CPPNs can be evolved through neuroevolution techniques such as neuroevolution of augmenting topologies (called CPPN-NEAT). CPPNs have been shown...
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to augment and assist the time-consuming computer graphics content generation process. NEAT is short for Neuroevolution of Augmenting Topologies. In...
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IEEE Transactions on Neural Networks, 5:54–65, 1994. [1] NeuroEvolution of Augmented Topologies (NEAT) by Stanley and Miikkulainen, 2005 [2] Yohannes Kassahun...
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SethBling (category California Institute of Technology alumni)
that plays Super Mario World. The program is based on neuroevolution of augmenting topologies; thus, it generates neural networks using genetic algorithms...
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Counterpropagation Neural Network (CPN) Elman Recurrent Neural Network Neuroevolution of augmenting topologies (NEAT) Feedforward Neural Network (Perceptron) Hopfield...
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artificial neural networks (ANNs) with the principles of the widely used NeuroEvolution of Augmented Topologies (NEAT) algorithm developed by Kenneth Stanley...
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Backpropagation GMDH Competitive learning Supervised backpropagation Neuroevolution Restricted Boltzmann machine Behavior based AI Subsumption architecture...
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Recurrent neural network (redirect from Applications of recurrent neural networks)
Faustino J. (2005). "Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning". Proceedings of the 19th International Joint Conference...
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Logistic regression Multilayer perceptron Neural gas Neuroevolution, NeuroEvolution of Augmented Topologies (NEAT) Ni1000 chip Optical neural network Particle...
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the population into subpopulations (or species) but employs the space topology instead is proposed in. Wong, K. C. (2015), Evolutionary Multimodal Optimization:...
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