About: Neuroevolution

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Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules. It is most commonly applied in artificial life, general game playing and evolutionary robotics. The main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network's performance at a task. For example, the outcome of a game (i.e. whether one player won or lost) can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional d

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rdf:type	Thing yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity yago:Rule105846932 yago:WikicatEvolutionaryAlgorithms
rdfs:label	Neuroevoluzione (it) Neuroevolution (en) Neuroevolution (ja) Нейроэволюция (ru) Нейроеволюція (uk)
rdfs:comment	Neuroevolution または Neuro-evolution は人工ニューラルネットワークの学習に遺伝的アルゴリズムを用いる機械学習の手法である。ネットワークの性能を測るのが容易であるが、教師あり学習を用いて正しい入力と出力の対の概要を作るのが困難または不可能であるゲームやロボットのモーター制御するようなアプリケーションに有効である。ニューラルネットワークの学習の分類体系では強化学習に属する。 (ja) Нейроеволю́ція — форма машинного навчання, яка використовує еволюційні алгоритми для тренування нейронних мереж. Цей підхід використовується наприклад в таких галузях як ігри і керування приводами роботів. У цих випадках досить просто вимірювати продуктивність нейромережі, у той час, як реалізувати навчання з учителем дуже важко або практично неможливо. Цей метод навчання відноситься до категорії методів навчання з підкріпленням. (uk) Нейроэволюция — форма машинного обучения, которая использует эволюционные алгоритмы для тренировки нейросети. Этот подход используется в таких отраслях как игры и управление приводами роботов. В этих случаях достаточно просто измерить производительность нейросети, в то время как реализовать обучение с учителем очень тяжело или практически невозможно. Этот метод обучения относится к категории методов обучения с подкреплением. (ru) Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules. It is most commonly applied in artificial life, general game playing and evolutionary robotics. The main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network's performance at a task. For example, the outcome of a game (i.e. whether one player won or lost) can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional d (en) La neuroevoluzione è una forma di machine learning e denota l'uso degli algoritmi genetici, o di altri metodi e tecniche evolutive, nella messa a punto delle reti neurali artificiali, per quanto riguarda sia l'architettura della rete (cioè la sua struttura intesa come numero di nodi e numero di connessioni tra i nodi stessi), sia i parametri relativi (ossia i pesi delle connessioni tra i nodi). Un metodo neuroevolutivo degno di nota è quello proposto nel 2002 da , denominato NEAT (NeuroEvolution of Augmenting Topologies), e basato su un processo di graduale incremento della complessità strutturale delle reti che si propongono di risolvere un problema assegnato (tipicamente un problema di reinforcement learning). A partire da reti estremamente semplici, in quanto completamente prive di neur (it)
differentFrom	Neural development Neural Darwinism Evolution of nervous systems
foaf:homepage	http://beacon-center.org
dcterms:subject	Artificial neural networks Evolutionary algorithms
Wikipage page ID	440706 (xsd:integer)
Wikipage revision ID	1100397527 (xsd:integer)
Link from a Wikipage to another Wikipage	Memetic algorithm Uber Deep learning General game playing Genetic programming Genome Genotype Open Source Genetic algorithm Gradient descent Noogenesis Simulated annealing Compositional pattern-producing network Embryology Backpropagation Domain knowledge Reinforcement learning Atavism HyperNEAT Hypercube Artificial intelligence Artificial life Artificial neural network Artificial neural networks Artificial development Evolutionary algorithms Automated machine learning Phenotype Evolutionary Acquisition of Neural Topologies Algorithms Computational Steering Science (magazine) Evolution strategy Evolutionary algorithm Evolutionary computation Evolutionary programming Evolutionary robotics Fitness function S-expressions Supervised learning NeuroEvolution of Augmenting Topologies Markov network Evolution strategies dbr:Chromosome_Spectrum dbr:Deus_Ex_Neural_Network dbr:ES-HyperNEAT dbr:Interactively_Constrained_Neuro-Evolution dbr:Modular_Agent-Based_Evolver dbr:Novelty_Map_Population dbr:Preference_Articulation dbr:Spectrum-diverse_Unified_Neuroevolution_Architecture dbr:Spectrum-diversity dbr:Unified_Neural_Representation
Link from a Wikipage to an external page	http://nerd.x-bot.org/ http://www.siebel-research.de/evolutionary_learning/%7Ctitle=Nils http://beacon-center.org/blog/2012/08/13/evolution-101-neuroevolution/%7Ctitle=Evolution http://eplex.cs.ucf.edu/ESHyperNEAT%7Ctitle=ES-HyperNEAT http://nn.cs.utexas.edu/keyword%3Fneuroevolution%7Ctitle=NNRG http://sharpneat.sourceforge.net/%7Ctitle=SharpNEAT http://ANNEvolve.sourceforge.net https://github.com/CorticalComputer%7Ctitle=CorticalComputer https://github.com/Hintzelab/MABE https://github.com/zweifel/Physis-Shard
sameAs	Neuroevolution Neuroevolution Neuroevolution Neuroevolution Neuroevolution Neuroevolution Neuroevolution Neuroevolution

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