Perfecting a Video Game with Game Metrics
Vol 9, No 2: August 2011

Progress in Artificial Intelligence Techniques: from Brain to Emotion

Tole Sutikno (Universitas Ahmad Dahlan)
Mochammad Facta (Universitas Diponegoro)
G.R. Arab Markadeh (University Shahrekord)



Article Info

Publish Date
01 Aug 2011

Abstract

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.

Copyrights © 2011






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...