NNC Student Summer Research Support Program Report

نویسنده

  • Serdar Iplikci
چکیده

This report presents the studies carried out on two modifications suggested in the literature for Levenberg-Marquardt algorithm. The modifications are applicable to feed-forward neural networks. One modification [18], made on performance index, reduces computational complexity of the Levenberg-Marquardt algorithm, while the other one [17], made on calculation of the gradient information, improves convergence rate. These modifications have been performed on several benchmark problems.

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تاریخ انتشار 2001