Prediction of product quality in glass manufacturing process using LTF-A neural network
نویسنده
چکیده
This report presents solutions of EUNITE Competition 2003 problem “Prediction of product quality in glass manufacturing process”. The first solution is based on Local Transfer Function Approximator (LTF-A) neural network, while the next three solutions utilize simple rules to predict glass quality. Despite advanced data preprocessing, LTF-A did not performed very well on the competition data. The reason for this was probably the difficulty of the problem and the lack of strong relations in the data ifself.
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تاریخ انتشار 2003