Generating information-diffusion-based virtual samples to improve small data set prediction for ceramic powder: A case study

Hung Yu Chen, Der Chiang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A multi-layer ceramic capacitor is a widely used passive component in modern electronics. However, most passive component manufacturers have to undertake pilot runs after receiving a batch of the key component, ceramic powder, to confirm the dielectric constant because of its low stability among batches. It takes at least two weeks from the pilot runs to mass production. In order to reduce the costs, one effective way is to predict the dielectric constant with experiential data. Although neural networks are widely applied to implement this task, the learning models are usually built with a great amount of training data, which is difficult to collect in the early stages of a manufacturing system. Therefore, this paper on the basis of the information-diffusion concept generates more training samples to help improve the prediction. The results reveal that the proposed method can rapidly help develop a model of production with limited data.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015
EditorsKensei Tsuchida, Naohiro Ishii, Takaaki Goto, Satoshi Takahashi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages374-378
Number of pages5
ISBN (Electronic)9781467396424
DOIs
Publication statusPublished - 2015 Nov 23
Event3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015 - Okayama, Japan
Duration: 2015 Jul 122015 Jul 16

Publication series

NameProceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015

Other

Other3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015
Country/TerritoryJapan
CityOkayama
Period15-07-1215-07-16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems

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