Hybrid intelligent diagnosis approach based on soft computing from signal and image knowledge representations for a biomedical application

Author:

Chohra Amine,Kanaoui Nadia,Amarger Véronique,Madani Kurosh

Publisher

Springer Science and Business Media LLC

Reference22 articles.

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2. Turban, E., Aronson, J.E.: Decision Support Systems and Intelligent Systems, Int edn, 6th edn. Prentice-Hall (2001)

3. Karray, F.O., De Silva, C.: Soft Computing and Intelligent Systems Design, Theory, Tools and Applications. Addison Wesley, ISBN 0-321-11617-8, Pearson Ed. Limited (2004)

4. Meneganti, M., Saviello, F.S., Tagliaferri, R.: Fuzzy neural networks for classification and detection of anomalies. IEEE Trans. Neural Netw. 9(5), 848–861 (1998)

5. Palmero, G.I.S., Santamaria, J.J., de la Torre, E.J.M., Gonzalez, J.R.P.: Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system. Eng. Appl. Artif. Intell., 18, 867–874 (2005) (Elsevier)

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