Optimization of multi-micro extended analog computer array and its applications to data mining

Yilin Zhu, Feng Pan*, Weixing Li, Qi Gao, Xuemei Ren

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The micro-extended analog computer (uEAC) is a prototype implementation of extended analog computer (EAC). In this paper, a dynamic multi-uEAC array is proposed based on the analysis of the uEAC unit mathematical model. By constructing a multi-uEAC array, the limitations of single uEAC unit on nonlinear mapping can be overcome. In order to obtain an optimal multi-uEAC array structure, a comprehensive optimization strategy based on particle swarm optimizer (PSO) is developed to optimize multi-uEAC array structure matrix and connection matrix simultaneously. Two simulation examples are provided to verify the effectiveness of the proposed model.

Original languageEnglish
Pages (from-to)455-471
Number of pages17
JournalInternational Journal of Unconventional Computing
Volume10
Issue number5-6
Publication statusPublished - 2014

Keywords

  • Data prediction
  • Dynamic topology
  • Extended analog computer
  • Field computation
  • Multi-uEAC array
  • Particle swarm optimizer

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