Particle swarm optimization for ANFIS interpretability and accuracy

• Main Authors: Rini, D. P., Shamsuddin, S. M., Yuhaniz, S. S.
• Format: Article
• Published: Springer Verlag 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/74223/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952981358&doi=10.1007%2fs00500-014-1498-z&partnerID=40&md5=f26fdfef748679874f12be8c7f94260e
• Institution: Universiti Teknologi Malaysia

The strength of the adaptive neuro-fuzzy system (ANFIS) involves two contradictory requirements in a common fuzzy modeling problem, i.e. interpretability and accuracy. It is known that simultaneous optimization of accuracy and interpretability will improve performance of the system and avoid over-fi...