## A Very Fast Learning Method for Neural Networks Based On Sensitivity (2006)

by
Enrique Castillo
,
Bertha Guijarro-Berdinas
,
Oscar Fontenla-Romero
,
Amparo Alonso-Betanzos

Venue: | JOURNAL OF MACHINE LEARNING RESEARCH |

Citations: | 6 - 2 self |

### BibTeX

@MISC{Castillo06avery,

author = {Enrique Castillo and Bertha Guijarro-Berdinas and Oscar Fontenla-Romero and Amparo Alonso-Betanzos},

title = { A Very Fast Learning Method for Neural Networks Based On Sensitivity},

year = {2006}

}

### OpenURL

### Abstract

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