This paper is a statistical analysis of hybrid expert system approaches and their applications
but more specifically connectionist and neuro-fuzzy system oriented articles are considered …

Estimation of remaining useful life (RUL) is helpful to manage life cycles of machines and to
reduce maintenance cost. Support vector machine (SVM) is a promising algorithm for …

Support vector machine (SVM) is currently state-of-the-art for classification tasks due to its
ability to model nonlinearities. However, the main drawback of SVM is that it generates …

Abstract A Genetic Algorithm based Support Vector Machine (GA-SVM) approach for online
monitoring of long-term voltage instability has been proposed in this paper. The …

Machine learning support for medical decision making is truly helpful only when it meets two
conditions: high prediction accuracy and a good explanation of how the diagnosis was …

In this article, we introduce a variant of the adaptive network-based fuzzy inference system
(ANFIS). The proposed variant does not use backpropagation and grid partitioning, but the …

Early detection of power transformer fault is important because it can reduce the
maintenance cost of the transformer and it can ensure continuous electricity supply in power …

Diabetes mellitus is a major non-communicable disease ever rising as an epidemic and a
public health crisis worldwide. One of the several life-threatening complications of diabetes …

Many of the state-of-the-art data mining techniques introduce nonlinearities in their models
to cope with complex data relationships effectively. Although such techniques are …

Black-box models play an important role in advancing the blast furnace modeling
technologies for control purposes. To further enhance their practical applications, this paper …