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Journal > TELKOMNIKA Telecommunication, Computing, Electronics and Control > Progress in Artificial Intelligence Techniques: from Brain to Emotion

 

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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vol 9, No 2: August 2011
Progress in Artificial Intelligence Techniques: from Brain to Emotion
Sutikno, Tole ( Universitas Ahmad Dahlan)
Facta, Mochammad ( Universitas Diponegoro)
Markadeh, G.R. Arab ( University Shahrekord)
Article Info   ABSTRACT
Published date:
01 Aug 2011
 
Artificial Intelligence (AI) techniques, e.g. expert system (ES), fuzzy logic (FL), artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) and biologically inspired (BI) have recently been applied widely in power electronics and motor drives.Each AI method has its own uniqueness and characteristics. Recently, researchers have developed a computational model of emotional learning in mammalian brain, namely brain emotional learning based intelligent controller (BELBIC). The results indicate the ability of BELBIC to control unknown non-linear dynamic systems. Therefore, the BELBIC can be easily adopted for niche mechatronics and industrial applications.
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