Authors : Ana Carolina Sousa Silva , Sergio Souto , Euvaldo Ferreira Cabral Jr. and Ernane Jose Xavier Costa
Abstract: This study introduces an approach to simulate neural complexity by changing the McCulloch and Pitts neuron model. The new approach was tested by comparing the classification performance of a multilayer perceptron with complexity measurement capability to a traditional multilayer perceptron with McCulloch and Pitts neuron model The results showed that the multilayer perceptron implemented with the complexity measurement approach achieved best classification performance (worst score of 94%) when compared with multilayer perceptron without the complexity approach (best score of 51%) in task of classifier large time series generated by a logistic map with different generator parameter.
Ana Carolina Sousa Silva , Sergio Souto , Euvaldo Ferreira Cabral Jr. and Ernane Jose Xavier Costa , 2007. Using an Easy Calculable Complexity Measure to Introduce Complexity in the Artificial Neuron Model . Research Journal of Biological Sciences, 2: 607-611.