Despite the growing success of machine learning for predicting structure–property
relationships in molecules and materials, such as predicting the dielectric properties of …

Abstract Back-propagation Neural Network (BPNN) algorithm is one of the most widely used
and a popular technique to optimize the feed forward neural network training. Traditional BP …

Metaheuristic algorithm such as BAT algorithm is becoming a popular method in solving
many hard optimization problems. This paper investigates the use of Bat algorithm in …

Modern radio networks promote the usage and emergence of new age technologies through
enabling lay users to utilize superior gadgets without external assistance. Cognitive Radio …

Back propagation neural network (BPNN) algorithm is a widely used technique in training
artificial neural networks. It is also a very popular optimization procedure applied to find …

An improved Bat algorithm with Gaussian distribution random walk (BAGD) is introduced in
this paper. The original Bat algorithm has a problem of random large step length that leads …

This article discusses the results of research on the combination of learning rate values,
momentum, and the number of neurons in the hidden layer of the ANN Backpropagation …

Prediction of hydrologic time series has been one of the most challenging tasks in water
resources management due to the non-availability of adequate data. Recently, applications …

A new metaheuristic based back-propagation algorithm known as Bat-BP is presented in
this paper. The proposed Bat-BP algorithm successfully solves the problems like slow …

The proposed models can design the airfoil by Cuckoo search with Levenberg-Marquardt.
The Neural Network framework has impediments due to over-fitting. This paper proposed a …