The objective of this work is to present a Quick Gbest Guided artificial bee colony (ABC)
learning algorithm to train the feedforward neural network (QGGABC-FFNN) model for the …

Numerous computational algorithms are used to obtain a high performance in solving
mathematics, engineering and statistical complexities. Recently, an attractive bio-inspired …

Benchmarking computational intelligence algorithms provides valuable knowledge for
selecting the best or, at least, the proper algorithm for a certain problem. The experimental …

Data clustering is a widespread data compression, vector quantization, data analysis, and
data mining technique. In this work, a modified form of ABC, ie global artificial bee colony …

Cancer is an important medical disorder, which is not a single disease but a cluster more
than 200 different serious medical complications. The accurate prediction in patients with …

Abstract Artificial Neural Networks (ANN) performance depends on network topology,
activation function, behaviors of data, suitable synapse's values and learning algorithms …

Future of complex systems like earthquakes is always challenging to predict. The
computational modeling of associated attributes yields understandability of reasons for …

Human serious disease prediction methods are vital, as they provide important data for
practitioners and health authorities to manage the risk factors of the critical diseases [1]. The …