A Hierarchical Procedure for the Synthesis of ANFIS Networks
Adaptive neurofuzzy inference systems (ANFIS) represent an efficient technique for the solution of function approximation problems. When numerical samples are available in this regard, the synthesis of ANFIS networks can be carried out exploiting clustering algorithms. Starting from a hyperplane clu...
Saved in:
Main Author: | Massimo Panella |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | Advances in Fuzzy Systems |
Online Access: | http://dx.doi.org/10.1155/2012/491237 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An ANFIS Approach for Real Power Transfer Allocation
by: Hussain Shareef, et al.
Published: (2011-01-01) -
Enhanced Temperature Control Method Using ANFIS with FPGA
by: Chiung-Wei Huang, et al.
Published: (2014-01-01) -
Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods
by: M. Pakdel, et al.
Published: (2025-01-01) -
Prediction the Compaction Properties of Lateritic Soils by Hybrid ANFIS Methods
by: Arivalagan Pugazhendhi, et al.
Published: (2023-03-01) -
Estimating the Torsional Capacity of Reinforced Concrete Beams Using ANFIS Models
by: Zhao Wenwu, et al.
Published: (2024-09-01)