C4.5: programs for machine learning
C4.5: programs for machine learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
Application of neural network for the prediction of eco-efficiency
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A methodology for estimating the product life cycle cost using a hybrid GA and ANN model
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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Many companies are beginning to change the way they develop products due to increasing awareness of environmentally conscious product development. To copy with these trends, designers are being asked to incorporate environmental criteria into the design process. Recently Life Cycle Assessment (LCA) is used to support the decision-making for product design and the best alternative can be selected based on its estimated environmental impacts and benefits. Both the lack of detailed information and time for a full LCA for a various range of design concepts need the new approach for the environmental analysis. This paper presents an artificial neural network (ANN) based approximate LCA model of product concepts for product groups using a product classification method. A product classification method is developed to support the specialization of ANN based LCA model for different classes of products. Hierarchical clustering is used to guide a systematic identification of product groups based upon environmental categories using the C4.5 decision tree algorithm. Then, an artificial neural network approach is used to estimate an approximate LCA for classified products with product attributes and environmental impact drivers identified in this paper.