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نمایش تعداد 1-7 از 7

Traffic signal control by distributed Reinforcement Learning with min-sum communication

نوع: Journal Paper

نویسنده : Tianshu Chu; Jie Wang

سال: 2017

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Reforming state owned enterprises in China: Effects of WTO accession

نوع: Journal Paper

نویسنده : Claustre Bajona; Tianshu Chu

سال: 2010

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Distributed storage operation in distribution network with stochastic renewable generation

نوع: Conference Paper

نویسنده : Tianshu Chu; Junjie Qin; Jieming Wei

ناشر: IEEE

سال: 2014

Theoretical exploration of MgH 2 and graphene nano-flakes in cyclohexane: proposing a new perspective toward functional hydrogen storage material

نوع: Journal Paper

نویسنده : Runze Liu; Yinghe Zhao; Tianshu Chu

سال: 2015

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A centralized reinforcement learning approach for proactive scheduling in manufacturing

نوع: Journal Paper

نویسنده : Shuhui Qu; Tianshu Chu; Jie Wang; James Leckie; Weiwen Jian

سال: 2015

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Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning

نوع: Journal Paper

نویسنده : Xin Jin; Jie Wang; Tianshu Chu; Jinghua Xia

سال: 2017

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Modeling and optimizing the performance of PVC/PVB ultrafiltration membranes using supervised learning approaches

نوع: Journal Paper

نویسنده : Lina Chi; Jie Wang; Tianshu Chu; Yingjia Qian; Zhenjiang Yu; Deyi Wu; Zhenjia Zhang; Zheng Jiang; James O. Leckie

سال: 2016

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Traffic signal control by distributed Reinforcement Learning with min-sum communication

Reforming state owned enterprises in China: Effects of WTO accession

Distributed storage operation in distribution network with stochastic renewable generation

Theoretical exploration of MgH 2 and graphene nano-flakes in cyclohexane: proposing a new perspective toward functional hydrogen storage material

A centralized reinforcement learning approach for proactive scheduling in manufacturing

Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning

Modeling and optimizing the performance of PVC/PVB ultrafiltration membranes using supervised learning approaches

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Traffic signal control by distributed Reinforcement Learning with min-sum communication

Reforming state owned enterprises in China: Effects of WTO accession

Distributed storage operation in distribution network with stochastic renewable generation

Theoretical exploration of MgH 2 and graphene nano-flakes in cyclohexane: proposing a new perspective toward functional hydrogen storage material

A centralized reinforcement learning approach for proactive scheduling in manufacturing

Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning

Modeling and optimizing the performance of PVC/PVB ultrafiltration membranes using supervised learning approaches