Grau, Isel

Nápoles, Gonzalo

This repository introduces the Long-Term Cognitive Network (LTCN) model for structured pattern classification problems. This recurrent neural network incorporates a quasi-nonlinear reasoning rule that allows controlling the amount of non-linearity in the reasoning mechanism. Furthermore, this neural classifier uses a recurrence-aware decision model that evades the issues posed by the unique fixed point while introducing a deterministic learning algorithm to compute the tunable parameters. The simulations show that this classifier obtains competitive results when compared to state-of-the-art white and black-box models

Code: Long-Term Cognitive Network for Pattern Classification

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