scholarly journals A Study of System Reliability Improvementt for Neuro-Fuzzy Bridge Rating Expert System.

1998 ◽  
pp. 47-63
Author(s):  
Moriyoshi Kushida ◽  
Ayaho Miyamoto ◽  
Masaki Nakagawa
Keyword(s):  
Expert System ◽  
System Reliability ◽  
Neuro Fuzzy ◽  
Bridge Rating

A Novel Neural Fuzzy Approach for Diagnosis of Potassium Disturbances

2013 ◽  
pp. 208-218
Author(s):  
Mashhour Bani Amer ◽  
Mohammad Amawi ◽  
Hasan El-Khatib
Keyword(s):  
Expert System ◽  
Fuzzy System ◽  
Critical Time ◽  
Diagnostic System ◽  
Accurate Diagnosis ◽  
Fuzzy Expert System ◽  
Fuzzy Approach ◽  
Neuro Fuzzy ◽  
Precise Diagnosis ◽  
Neural Fuzzy

In this paper, a neural fuzzy system for the diagnosis of potassium disturbances is presented. This paper develops an adaptive neuro-fuzzy expert system that can provide accurate diagnosis of potassium disturbances. The proposed diagnostic approach has many attractive features. First, it provides an efficient tool for diagnosis of K+ disturbances and aids clinicians, especially the non-expert ones, in providing fast and accurate diagnosis of K+ disturbances in critical time. Second, it significantly reduces the time needed to accomplish precise diagnosis of K+ disturbances and thus enhances the healthcare standards. Third, it is capable of diagnosing the different types of potassium disturbances using a hybrid neural fuzzy approach. Finally, it has good accuracy (higher than 87%), specificity (100%), and average sensitivity (83%). The performance of the proposed diagnostic system was experimentally evaluated and the achieved results confirmed that the proposed system is efficient and accurate in diagnosing K+ disturbances.

Expert system based on neuro-fuzzy rules for diagnosis breast cancer

2011 ◽  
Vol 38 (5) ◽  
pp. 5719-5726 ◽  
Author(s):  
Ali Keleş ◽  
Aytürk Keleş ◽  
Uğur Yavuz
Keyword(s):  
Breast Cancer ◽  
Expert System ◽  
Fuzzy Rules ◽  
Neuro Fuzzy
Sign in / Sign up

Export Citation Format

Share Document