Canfis
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CANFIS is a generalized form of ANFIS that allows for both multiple inputs and outputs by extending the single-output framework of ANFIS. In CANFIS, the antecedents are the same for each output but the consequents differ according to the number of required outputs. Fuzzy rules are constructed with shared membership values to express correlations between outputs. This approach differs from placing independent ANFIS models side-by-side, as in MANFIS, which does not allow for modifiable parameters to be shared between models and makes realizing correlations between outputs more difficult.
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- 1. CANFIS Coactive Neuro Fuzzy Inference systems G.Anuradha
- 2. Introduction • Highlights the extensions of anfis • Multiple output anfis with nonlinear fuzzy rules • Generalized anfis is called as CANFIS • In CANFIS both NN and FIS play an active role in a effort to reach a specific goal
- 3. Framework • Towards multiple inputs/outputs systems • Architectural comparisons
- 4. Towards multiple inputs/outputs systems • Canfis has extended the notion of single- output system of ANFIS to produce multiple outputs. • One way to accomplish is to place as many ANFIS models side by side as the number of required outputs.
- 6. • In CANFIS the antecedents are the same, but the consequents are different according the number of outputs required. • Fuzzy rules are constructed with shared membership values to express correlations between outputs.
- 8. • In MANFIS no modifiable parameters are shared by the juxtaposed ANFIS models. • Each anfis has an independent set of fuzzy rules, which makes it difficult to realize possible correlations between outputs. • Also the adjustable parameters increases with the increase in the number of outputs