Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18600
Title: Process modelling and optimisation using artificial neural networks and gradient search method
Authors: Bai, H
Kwong, CK 
Tsim, YC
Keywords: Artificial neural networks
Epoxy dispensing
Gradient search method
Process modelling
Process optimisation
Issue Date: 2007
Publisher: Springer
Source: International journal of advanced manufacturing technology, 2007, v. 31, no. 7-8, p. 790-796 How to cite?
Journal: International journal of advanced manufacturing technology 
Abstract: 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.
URI: http://hdl.handle.net/10397/18600
ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s00170-005-0256-x
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