An Objective Approach to Schizophrenia Recognition Utilizing an Adaptive Neuro-Fuzzy Inference (ANFIS) Model

  • Jonathan Chukwuyeni Obi UNIVERSITY OF BENIN
Keywords: Schizophrenia, ANFIS, Membership Function, Training and Testing Errors


Schizophrenia is a brain disorder that distorts the way a person thinks, acts, expresses emotions, perceives reality, and relates to others. A systematic approach and an overview perception has been carried out over the years by different researchers, but none has sufficiently introduced and Adaptive Neuro-Fuzzy Inference System (ANFIS) approach for these 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 successful completed at epoch 34, and had an error of 2.47367e-005 and the test error which was generated by the ANFIS was 0.0002511. The training was accomplished using a constant membership function type at an error tolerance at 0.05. 

Author Biographies


Computer Science

SENIOR  lecturer

Jonathan Chukwuyeni Obi, UNIVERSITY OF BENIN

Computer Science

Assistant  lecturer


Dwight D., Daniel J. R., Monica E. C., James M. G. and Ruben C. G., (2006), A comparison of cognitive structure in schizophrenia patients and healthy controls using confirmatory factor analysis, Schizophrenia Research 85 (2006) 20 – 29, Available on

HelpGuide, (2014), Schizophrenia” retrieved online from

Mayoclinic (2014), “Schizophrenia and Treatment” retrieved online from

MedicineNET (2014), “Schizophrenia”, Retrieved online MedicineNET.Com

NIMH: National Institute for Mental Health (2014), “Schizophrenia” retrieved online

Olivier G. and Marc L. (2005), Neurobiology of Dopamine in Schizophrenia, Departments of Psychiatry and Radiology Columbia University College of Physicians and Surgeons, New York, NY

RightDiagnosis (2014), “Schizophrenia” retrieved online from

Steffen M. and Todd S. W. (2007), Metacognitive training in schizophrenia: from basic research to knowledge translation and intervention, Curr Opin Psychiatry 20:619–625, Wolters Kluwer Health | Lippincott Williams & Wilkins.

Tara D., Alison C., Janie B. G., Bregje V. S., Katherine F., Kanupriya K. H. Pim C.and Helen C (2013), Suicide prevention in schizophrenia spectrum disorders and psychosis: a systematic review Donkeret al. BMC Psychology 2013,1:6 retrieved online from

Víctor P. and Manuel J.C. (2003), The Diagnosis of Schizophrenia: Old Wine in New Bottles, International Journal of Psychology and Psychological Therapy 2003, Vol. 3, Nº 2, pp. 141-152

WebMD (2014), “Schizophrenia: Diagnosis and Treatment” retrieved online from

How to Cite
Amadin, F., & Chukwuyeni Obi, J. (2015). An Objective Approach to Schizophrenia Recognition Utilizing an Adaptive Neuro-Fuzzy Inference (ANFIS) Model. Transactions on Machine Learning and Artificial Intelligence, 3(2), 01.