Automatic Diagnosis of Asthma Using Neurofuzzy System

In this paper, automatic diagnosis of asthma usingneurofuzzy approaches are presented. Adaptive Neural Fuzzy Inference System(ANFIS) is put in the framework of adaptive systems to facilitate learning and adaptation which uses back propagation algorithm to reduce the error in the output. In first pha...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Ansari, A. Q., Gupta, N. K., Ekata, E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, automatic diagnosis of asthma usingneurofuzzy approaches are presented. Adaptive Neural Fuzzy Inference System(ANFIS) is put in the framework of adaptive systems to facilitate learning and adaptation which uses back propagation algorithm to reduce the error in the output. In first phase input variables are prepared by taking a healthy person as a reference and in second phase these inputs with asthma patient are given to ANFIS to obtain output. Simulated result shows the proposed work for automated diagnosis, which have performed by using the realistic causes of asthma disease are effective.
DOI:10.1109/CICN.2012.55