A distributed autonomous neuro-gen learning engine and its application to the lattice analysis of cubic structure identification problem

Muhammad Fermi Pasha, Romi Fadillah Rahmat, Rahmat Budiarto, Mohammad Syukur

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14 Citations (Scopus)

Abstract

In this paper, we introduce a new machine learning tool: a distributed autonomous neuro-gen learning engine (DANGLE). The tool's motivation is to solve the lattice analysis of cubic structure identification problem. Our engine is also indirectly designed to solve common problems in existing neurogenetic implementations. The proposed DANGLE consists of a gene regulatory engine (GRE) and a high performance distributed adaptive neural network (DANN). Our experiments show that DANGLE performs better than EFuNN and is a powerful tool for lattice analysis of cubic structure identification.

Original languageEnglish
Pages (from-to)1005-1022
Number of pages18
JournalInternational Journal of Innovative Computing Information and Control
Volume6
Issue number3
Publication statusPublished - Mar 2010
Externally publishedYes

Keywords

  • Cubic structure identification
  • Distributed adaptive neural network
  • Gene regulatory engine
  • Neurogenetic
  • X-ray diffraction

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