مقاله عالی برای سیستم هوشمند ترکیبی

18,000 تومان
مقاله عالی برای سیستم هوشمند ترکیبی مقاله عالی برای سیستم هوشمند ترکیبی برای طبقه بندی اطلاعات پزشکی A hybrid intelligent

شبکه فازی عصبی برای دسته بندی

15,700 تومان

شبکه فازی عصبی برای دسته بندی و طبقه بندیMIN-MAX

شبکه فازی عصبی برای دسته بندی و طبقه بندیMIN-MAX

General fuzzy min-max neural network for clustering and classification

IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 11, NO. 3, MAY 2000 769

Bogdan Gabrys and Andrzej Bargiela

 

Index Terms:

Classification, clustering, fuzzy systems, fuzzy min-max neural networks, pattern recognition.

 

A Neuro-Fuzzy Approach to Diagnose

13,900 تومان

Abstract:

The aim of this study is to compare two supervised artificial neural network models for diagnosing a child with learning disability. Once diagnosed, then a fuzzy expert system is applied to correctly classify the type of learning disability in a child. The endeavor is to support the special education community in their quest to be with the mainstream. The initial part of the paper gives a comprehensive study of the different mechanisms of diagnosing learning disability. Models are designed by implementing two soft computing techniques called Single-Layer Perceptron and Learning Vector Quantization. These models classify a child as learning disabled or nonlearning disabled. Once diagnosed with learning disability, fuzzybased approach is used further to classify them into types of learning disability that is Dyslexia, Dysgraphia, and Dyscalculia. The models are trained using the parameters of curriculum-based test. The paper proposes a methodology of not only detecting learning disability but also the type of learning disability