Mushroom Classification Using ANN and ANFIS Algorithm
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2017, Vol 17, Issue 2
Abstract
This paper presents classification techniques for analyzing mushroom dataset. Artificial Mushroom dataset is composed of records of different types of mushrooms, which are edible or non- edible. Aritificial Neural Network and Adaptive Nuero Fuzzy inference system are used for implementation of the classification techniques. Different techniques used for classification like ANN, ANFIS and Naïve Bayes are used to categorize different mushrooms as edible or non-edible. The performance of the different techniques is evaluated using accuracy, MAE, kappa statistic. After analyzing the results it was found that Adaptive Nuero Fuzzy inference System outperformed the other techniques with highest accuracy, lowest mean absolute error and ANN is the second best performer. If size of training set is increased, the accuracy also increased with respect to training set.
Authors and Affiliations
S. K. Verma, M. Dutta 2
Keywords
Related Articles
- EP ID EP365575
- DOI -
- Views 78
- Downloads 0
Obstetric Hysterectomy As A Surgical Intervention in the Management of Obstetric Haemorrhage At the University of Port Harcourt Teaching Hospital, Nigeria.
Objectives: To determine the incidence, indications, maternal and perinatal outcome of obstetric hysterectomy. Materials and Methods: A retrospective study of 80 women who had obstetric hysterectomy at the Obstetric unit...
Haematological Profile in Microcytic Hypochromic Anaemia in Children
Anaemia whether clinically overt or not is a common condition encountered by family physician. The most commonly encountered disorders with mild microcytic hypochromic anaemia are iron deficiency anemia (IDA) and Thalass...
Pediatric cataract-Etiology and clinical diagnosis
Cataract is a significant cause of visual disability in the pediatric population worldwide and can significantly impact the neurobiological development of a child. Early diagnosis and prompt surgical intervention is crit...
Clinicopathological Spectrum of Head And Neck Masses In Children
This prospective study was conducted on 60 patients upto 14 years of age who presented with head and neck masses in the Department of Otorhinolaryngology& Head and Neck Surgery, Govt. Medical College Jammu for a period o...
Importance of Diagnosis in Selection of Orthodontic Treatment Mechanics: A Case Report
The Importance of diagnosis in orthodontics cannot be over-emphasized. Based on the correct diagnosis, a proper treatment and the prognosis of the case have to be formulated. This case report presents a case in which the...