Nature inspired algorithms are inspired from our environment. These algorithms are inspired
by the behaviour of insects, birds and animals etc. In the same way, the artificial neural …

This study discusses the negative impact of the derivative of the activation functions in the
output layer of artificial neural networks, in particular in continual learning. We propose …

Swarm intelligence (SI) approaches are a group of populace-dependent, nature influenced
meta-heuristic approaches that are impressed via collective intelligence of homogeneous …

The categorization and identification of type on the base of lone attributes and comportment
constitute an initial measure and is a predominant target in the behavioral sciences …

The benchmarking databases for artificial neural network (ANN) include several datasets
from several different domains. All datasets exhibit feasible problems which could be called …

Optimization is defined as the minimization or maximization of a function and is proved to be
the backbone for solving various complex problems. Researchers promote the use of nature …