Abstract The evolution of Artificial Neural Network (ANN) begins in1940s when McCulloch
and Pitts published research articles in 1943 discussing about the idea of neural network in …

In healthcare industry, Neural Network has attained a milestone in solving many real-life
classification problems varies from very simple to complex and from linear to non-linear. To …

Intelligent processing of complex signals such as images is often performed by a hierarchy
of nonlinear processing layers, such as a deep net or an object recognition cascade. Joint …

A novel growing-and-pruning (GP) approach is proposed, which optimizes the structure of a
fuzzy neural network (FNN). This GP-FNN is based on radial basis function neurons, which …

The prediction of a volatile stock market is a challenging task. While various neural networks
are integrated to address stock trend prediction problems, the weight initialization of such …

PVT properties are very important in the reservoir engineering computations. There are
numerous approaches for predicting various PVT properties, namely, empirical correlations …

Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its
ultimately effect on the gastrointestinal tract that leads to the need of complex medical …

Data collection and analysis are now part and parcel of virtually all research carried out in
economics, politics, technology and medicine. As operations and calculations improve in …

The improvement of computers' capacities, advancements in algorithmic techniques, and the
significant increase of available data have enabled the recent developments of Artificial …

The aim of this study is to speed up the scaled conjugate gradient (SCG) algorithm by
shortening the training time per iteration. The SCG algorithm, which is a supervised learning …