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ADAPTIVE NEURO - FUZZY INFERENCE SYSTEM (ANFIS) APPROACH FOR CEREBRAL MALARIA

Keywords: Cerebral Malaria, ANFIS, Membership Function, Training and Testing Errors

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Abstract:

Cerebral Malaria is a neurological complication caused by the plasmodium falciparum malaria. It is usually associated with coma and asexual forms of the parasites on peripheral blood smears. A systematic approach and an overview perception has been carried out over the years by different researchers, but none has sufficiently introduced an Adaptive Neuro-Fuzzy Inference System (ANFIS) approach for this prediction which has served as the focal aim of this research paper using available parameters and datasets. Matric Laboratory (MATLAB) 7.0 served as the tool of implementation highlighting various views. The ANFIS training was successfully completed at epoch 34, and had an error of 0.0001321 and the test error which was generated by the ANFIS was 0.0002511. The training was accomplished using a constant membership function type with an error tolerance at 0.05.

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