Open Access Open Access  Restricted Access Subscription or Fee Access

Adaptive Neuro Fuzzy Inference System (ANFIS) with Error Backpropagation Algorithm using Mapping Function

Endra Joelianto, Basuki Rahmat

Abstract


Adaptive Neuro Fuzzy Inference System (ANFIS) is a class of adaptive networks which enjoys many of the advantages claimed by neural networks (NNs) and the linguistic interpretability of Fuzzy Inference Systems (FIS). The fixed membership functions used in the backward pass lead to a problem in minimizing discrepancy between the actual outputs and the desired outputs. To overcome this problem, we propose a method to modify ANFIS algorithm in the backward pass by using a mapping function. The function maps the inputs to all corrected values obtained via error correction rules in the first layer by means of an interpolation of the inputs and the corrected values in the first layer. Simulation results demonstrate the effectiveness of the proposed modified ANFIS in significantly reducing the discrepancy between the actual outputs and the desired output.

Keywords


Adaptive neuro fuzzy inference system; fuzzy systems; neural networks; backpropagation algorithm; mapping function

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.