Artificial Neural Networks for Consumer Oriented Design – A Case of the Best Combination on Product Form Design
نویسنده
چکیده
This paper presents a consumer oriented approach, using a grey relational analysis (GRA), neural networks (NNs), and a tabu search (TS) algorithm, to determining the best combination of product form design. The GRA model is used to identify the most influential elements of product form. The NN model is used in conjunction with the GRA model, in order to predict and suggest the best form design combination. The TS is applied to accelerate the search speed for the best global solution. The consumer oriented approach provides useful insights to help product designers work out the best combination of product form design for matching the given product image.
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