Adaptive networks solve distributed optimization problems in which all agents of

the network are interested to collaborate with their neighbors to learn a similar

task. Collaboration is useful when all agents seek a similar task...

In this paper a heuristic method aimed for detecting of QRS complexes without any pre-process

was developed. All the methods developed in previous studies were used pre-process, the most novelty of this study was ...

In this paper, we investigate the transient performance of the proposed distributed multitask learning

algorithm that is developed based on maximum correntropy criterion. In the first stage, we derive the

proposed ...

Recently, adaptation, optimization and learning over

multitask networks with ideal communication links have been

investigated in the literature. However, in real-life applications,

the communication ...

The present study proposes the Robust DLMS -RDLMS- algorithm for a robust estimation over adaptive networks. Instead of minimizing the mean square error -MSE-, the RDLMS algorithm is derived from minimizing the pseudo-Huber function which is a...

Abstract-In this Study, Support Vector Machines and Adaptive- Network- Based Fuzzy Inference Systems are used in diagnosing acute nephritis disease and heart disease (Data is on cardiac Single Proton Emission Computed Tomography images). Each person...

Abstract: In this paper, a new and easy available numerical method is presented in calculation of functional

inverse. As for ANFIS (Adaptive Network based Fuzzy Inference System) model is available without great difficulty

in MATLAB...

This paper presents a newand accurate algorithm for locating faults in a combined overhead transmission line with underground power cable using Adaptive Network-Based Fuzzy Inference System (ANFIS). The proposed method uses 10 ANFIS networks...