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Neural Network Trainer with Second Order - Auburn University

Neural Network Trainer with Second Order - Auburn University 2025

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The document presents a software tool, Neural Network Trainer (NNT), designed to enhance the training of neural networks using second order learning algorithms, particularly the Levenberg-Marquardt algorithm. It addresses the limitations of traditional Error Back Propagation (EBP) methods by offering faster and more efficient training for arbitrarily connected feedforward neural networks. The NNT allows users to define complex network architectures and provides various algorithms, including modified versions aimed at improving convergence rates. Experimental results demonstrate that the NNT significantly outperforms EBP in solving complex problems like parity tasks.

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