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- W2361036195 abstract "Artificial Neural Networks are powerful tools that can be used to model and investigate various complex and non-linear phenomena.In this study,we constructed a new ANN based on Multi-Agent System(MAS) theory and quantum computing algorithm.All nodes in this new ANN were presented as Quantum Computational(QC) agents,and these agents have learning ability.A novel ANN training method was proposed via implementing QCMAS reinforcement learning.This new ANN has powerful parallel-work ability and its training time is shorter than classic algorithm.Experiment results show that this method is effective." @default.
- W2361036195 created "2016-06-24" @default.
- W2361036195 creator A5012329541 @default.
- W2361036195 date "2011-01-01" @default.
- W2361036195 modified "2023-09-23" @default.
- W2361036195 title "A Novel Artificial Neural Network Training Method Based on Quantum Computational Multi-Agent" @default.
- W2361036195 hasPublicationYear "2011" @default.
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