Evolutionary structure optimization of hierarchical neural network for image recognition

Satoru Suzuki, Yasue Mitsukura

Research output: Contribution to journalArticlepeer-review


The purpose of this paper is to optimize the structure of hierarchical neural network (NN). In our proposed method, the structure optimization is considered as combinatorial optimization problem, and unnecessary connections in trained NN are eliminated by using genetic algorithm (GA).We focus on the NN which specialized for image recognition problems. In order to validate the usefulness of the proposed method, face recognition and texture classification examples are used. From the experimental results, it was shown that compact neural network was generated, keeping generalization performance by proposed method.

Original languageEnglish
Pages (from-to)983-989
Number of pages7
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number5
Publication statusPublished - 2011
Externally publishedYes


  • Face Recognition
  • Genetic Algorithm
  • Neural Network
  • Texture Classification

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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