Structural damage identification can be considered as an optimization problem, by defining
an appropriate objective function relevant to structural parameters to be identified with …

Radial Basis Function Neural Network (RBFNN) is a variant of artificial neural network
(ANN) paradigm, utilized in a plethora of fields of studies such as engineering, technology …

Classification is one of the data mining techniques which considered as supervised
learning. Classification technique such as Backpropagation Neural Network (BPNN) has …

A simple yet effective architectural design of radial basis function neural networks (RBFNN)
makes them amongst the most popular conventional neural networks. The current …

Abstract Radial Basis Function Neural Network (RBFNN) ensembles have long suffered
from non-efficient training, where incorrect parameter settings can be computationally …

Due to the dynamic nature, chaotic time series are difficult predict. In conventional signal
processing approaches signals are treated either in time or in space domain only. Spatio …

Malaria is a life-threatening disease caused by the plasmodium falciparum parasite and
spread to people from infected mosquitoes. Gene expression data analysis is an essential …