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

被引：0

作者：

Bai, H. ^{[2
]}

Kwong, C.K. ^{[1
]}

Tsim, Y.C. ^{[1
]}

机构：

[1] Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong

[2] Shenzhen Tourism College, Jian University, Overseas Chinese Town, Shenzhen, China

来源：

International Journal of Advanced Manufacturing Technology | 2007年 / 31卷 / 7-8期

关键词：

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. © Springer-Verlag London Limited 2007;

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摘要：

Journal article (JA)

引用

页码：790 / 796