Neural network model for product end-of-life strategies

A neural network has the advantages of ease of use and feasibility for solving nonlinear problems with learning capability. The theory of end-of-life design advisor (ELDA) is selected as the basic structure of back-propagation neural network to determine the useful strategy. Furthermore, a self organized map neural network was selected to analyze the relation between each strategy. Hence, the trained neural networks can simulate the analysis mode of ELDA rapidly and offer the designer with an easy operation method in the relative research domain.