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A Method for Training a Fuzzy Constraint Network
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 12)Publication Date: 2017-12-05
Authors : Huy-Khoi Do; Thi-Xuan Tran; Van-Nui Nguyen;
Page : 1271-1276
Keywords : Fuzzy constraint network; ANFIS; M-ANFIS; C-ANFIS;
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- A Method for Training a Fuzzy Constraint Network
- Method for Solving Fuzzy Inventory Model with Space Constraint under Robust Ranking Technique
- SOLUTION OF INVENTORY MODEL WITH SPACE CONSTRAINT AND FUZZY COST COMPONENTS BY FUZZY OPTIMIZATION TECHNIQUE USING NEAREST INTERVAL APPROXIMATION
- Constraint-Fact or Fiction? Comparison of Different Methods of Constraint with No Constraint in Upper Limb Function in Moderately Spastic Hemiplegic Cerebral Palsy Children
- CONSTRAINT-FACT OR FICTION? COMPARISON OF DIFFERENT METHODS OF CONSTRAINT WITH NO CONSTRAINT IN UPPER LIMB FUNCTION IN MODERATELY SPASTIC HEMIPLEGIC CEREBRAL PALSY CHILDREN
Abstract
The architectures and learning procedures underlying ANFIS (Adaptive Network-based Fuzzy Inference System) and M-ANFIS (Mamdani- ANFIS) were presented and successfully applied in many fields of science areas. Based on principles of ANFIS and M-ANFIS, with the learning procedures of these two architectures, we proposed the so-called C-ANFIS (Constraint-ANFIS), being useful for training a fuzzy constraint network.
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