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نمایش تعداد 1-9 از 9

Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm

نوع: Journal Paper

نویسنده : Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi

سال: 2009

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Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems

نوع: Journal Paper

نویسنده : Shingo Mabu; Masanao Obayashi; Takashi Kuremoto

سال: 2015

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Leader-Follower Adaptive Formation Control without Observation of Agent\'s Velocity Using Wavelet Neural Network

نوع: Journal Paper

نویسنده : Masanao Obayashi; Takeshi Aridome; Takashi Kuremoto; Shingo Mabu

سال: 2017

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A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space

نوع: Journal Paper

نویسنده : Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Hirotaka Adachi; Kentaro Yoneda

سال: 2008

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AN IMPROVED INTERNAL MODEL FOR SWARM FORMATION AND ADAPTIVE SWARM BEHAVIOR ACQUISITION

نوع: Journal Paper

نویسنده : TAKASHI KUREMOTO; YUKI YAMANO; MASANAO OBAYASHI; KUNIKAZU KOBAYASHI

سال: 2009

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Time series forecasting using a deep belief network with restricted Boltzmann machines

نوع: Journal Paper

نویسنده : Takashi Kuremoto; Shinsuke Kimura; Kunikazu Kobayashi; Masanao Obayashi

سال: 2014

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Combination of genetic network programming and knapsack problem to support record clustering on distributed databases

نوع: Journal Paper

نویسنده : Wirarama Wedashwara; Shingo Mabu; Masanao Obayashi; Takashi Kuremoto

سال: 2016

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How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems

نوع: Journal Paper

نویسنده : Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Shingo Mabu

سال: 2014

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Adaptive Swarm Behavior Acquisition Using a Neuro-Fuzzy Reinforcement Learning System

نوع: Journal Paper

نویسنده : Takashi Kuremoto; Yuki Yamano; Liang-Bing Feng; Kunikazu Kobayashi; Masanao Obayashi

سال: 2013

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Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm

Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems

Leader-Follower Adaptive Formation Control without Observation of Agent\'s Velocity Using Wavelet Neural Network

A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space

AN IMPROVED INTERNAL MODEL FOR SWARM FORMATION AND ADAPTIVE SWARM BEHAVIOR ACQUISITION

Time series forecasting using a deep belief network with restricted Boltzmann machines

Combination of genetic network programming and knapsack problem to support record clustering on distributed databases

How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems

Adaptive Swarm Behavior Acquisition Using a Neuro-Fuzzy Reinforcement Learning System

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Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm

Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems

Leader-Follower Adaptive Formation Control without Observation of Agent\'s Velocity Using Wavelet Neural Network

A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space

AN IMPROVED INTERNAL MODEL FOR SWARM FORMATION AND ADAPTIVE SWARM BEHAVIOR ACQUISITION

Time series forecasting using a deep belief network with restricted Boltzmann machines

Combination of genetic network programming and knapsack problem to support record clustering on distributed databases

How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems

Adaptive Swarm Behavior Acquisition Using a Neuro-Fuzzy Reinforcement Learning System