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Optimizing Deep Learning Parameters Using Genetic Algorithm for Object Recognition and Robot Grasping

Delowar Hossain Genci Capi Mitsuru Jindai

电子科技学刊2018,Vol.16Issue(1):11-15,5.
电子科技学刊2018,Vol.16Issue(1):11-15,5.DOI:10.11989/JEST.1674-862X.61103113

Optimizing Deep Learning Parameters Using Genetic Algorithm for Object Recognition and Robot Grasping

Optimizing Deep Learning Parameters Using Genetic Algorithm for Object Recognition and Robot Grasping

Delowar Hossain 1Genci Capi 2Mitsuru Jindai1

作者信息

  • 1. the Graduate School of Science and Engineering for Education, University of Toyama, Toyama 9350343
  • 2. the Department of Mechanical Engineering, Hosei University, Tokyo 184-0002
  • 折叠

摘要

关键词

Deep learning (DL)/deep belief neural network (DBNN)/genetic algorithm (GA)/object recognition/robot grasping

Key words

Deep learning (DL)/deep belief neural network (DBNN)/genetic algorithm (GA)/object recognition/robot grasping

引用本文复制引用

Delowar Hossain,Genci Capi,Mitsuru Jindai..Optimizing Deep Learning Parameters Using Genetic Algorithm for Object Recognition and Robot Grasping[J].电子科技学刊,2018,16(1):11-15,5.

电子科技学刊

OACSCD

1674-862X

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