Process modelling and optimisation using artificial neural networks and gradient search method

H. Bai, Chun Kit Kwong, Y. C. Tsim

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


Process modelling refers to the development of a process model that serves to provide the input-output relationship of a process, while process optimisation provides the optimum operating conditions of a process for a high-yield, low cost and robust operation. Normally, process modelling is a starting point of process optimisation. In this paper, a method of integrating artificial neural networks with a gradient search method for process modelling and optimisation is presented. Artificial neural networks are used to develop process models while a gradient search method is used in process optimisation. Application of the method to the modelling and optimisation of epoxy dispensing for microchip encapsulation is described. Results of the validation tests indicate that good quality of encapsulation can be obtained based on the proposed method.
Original languageEnglish
Pages (from-to)790-796
Number of pages7
JournalInternational Journal of Advanced Manufacturing Technology
Issue number7-8
Publication statusPublished - 1 Jan 2007


  • Artificial neural networks
  • Epoxy dispensing
  • Gradient search method
  • Process modelling
  • Process optimisation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering


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