LEARNING
Artificial neural network inspired by quantum computing solutions using the movement model of the PR-02 robot
Jerzy Tchórzewski, Dariusz Ruciński, Przemysław Domański
- 发表年份
- 2018
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
The paper proposes a new method of quantum computing using control and systems theory as well as matrix-quantum computing. The algorithm developed on the basis of the PR-02 robot’s arm’s movement was implemented in using the Neural Network Toolbox. The application of the neural model instead of the analytic model allowed for obtaining the improvement of the trajectory of the PR-02 robot’s arm movement, while the application of the quantum artificial neural network for the assumed number of quasi-parallel computations equal 1000 did not result in the improvement of the model.
关键词
Artificial neural networkQuantum computerComputer scienceRobotComputationQuantumArtificial intelligenceTrajectoryRecurrent neural networkAlgorithm
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