Predicting the Class of a Mentally Disabled Patient to Check the Level of Mental Retardation by using Feed Forward Back Propagation Neural Network
作者： P. C.Gupta , Anjali Mathur
DOI: 10.5120/5636-8022
关键词: Artificial intelligence 、 Layer (object-oriented design) 、 Clinical Practice 、 Software 、 Pharmacological research 、 Feed forward back propagation neural network 、 Computer science 、 Class (computer programming) 、 Distress
摘要: disorders have a large impact on individuals, families, and communities, are one of the main causes worldwide disability distress. Correct diagnosis mental is essential in clinical practice, pharmacological research, successful treatment. Patients with retardation often multiple sometimes complicated medical problems. In this paper we proposed feed forward back propagation neural network to classify level by using Matlab software. There six neurons input layer which represent attribute patient. Output contains four different levels each patient will be classified
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