# A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

@article{Castillo2006AVF, title={A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis}, author={Enrique F. Castillo and Bertha Guijarro-Berdi{\~n}as and Oscar Fontenla-Romero and Amparo Alonso-Betanzos}, journal={Journal of Machine Learning Research}, year={2006}, volume={7}, pages={1159-1182} }

- Published 2006 in Journal of Machine Learning Research

This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers. First, random values are assigned to the outputs of the first layer; later, these initial values are updated based on sensitivity formulas, which use the weights in each of the layers; the process is repeated until convergence. Since these weights are learnt solving a linear system of equations, there is an importantā¦Ā CONTINUE READING

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