Neural Networks, ( ISI ), Volume (59), No (59), Year (2014-7) , Pages (61-72)

Title : ( Practical emotional neural networks )

Authors: احسان لطفی , Mohammad Reza Akbarzadeh Totonchi ,

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In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a pattern recognition problem. LiAENN is a novel computational neural model of the emotional brain that models emotional situations such as anxiety and confidence in the learning process, the short paths, the forgetting processes, and inhibitory mechanisms of the emotional brain. In the model, the learning weights are adjusted by the proposed anxious confident decayed brain emotional learning rules (ACDBEL). In engineering applications, LiAENN is utilized in facial detection, and emotion recognition. According to the comparative results on ORL and Yale datasets, LiAENN shows a higher accuracy than other applied emotional networks such as brain emotional learning (BEL) and emotional back propagation (EmBP) based networks.

Keywords

, Amygdala, BELBIC, Cognition, Emotional state, Learning,
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@article{paperid:1042581,
author = {احسان لطفی and Akbarzadeh Totonchi, Mohammad Reza},
title = {Practical emotional neural networks},
journal = {Neural Networks},
year = {2014},
volume = {59},
number = {59},
month = {July},
issn = {0893-6080},
pages = {61--72},
numpages = {11},
keywords = {Amygdala، BELBIC، Cognition، Emotional state، Learning، Emotion},
}

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%0 Journal Article
%T Practical emotional neural networks
%A احسان لطفی
%A Akbarzadeh Totonchi, Mohammad Reza
%J Neural Networks
%@ 0893-6080
%D 2014

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