In the software engineering, estimation of the effort, time and cost required for the
development of software projects is an important issue. It is a very difficult task for project …

The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …

In this paper, a new method based on single layer Legendre Neural Network (LeNN) model
has been developed to solve initial and boundary value problems. In the proposed …

Differential equations play a vital role in the fields of engineering and science. Problems in
engineering and science can be modeled using ordinary or partial differential equations …

Learning in neural networks can broadly be divided into two categories, viz., off-line (or
batch) learning and online (or incremental) learning. In this paper, a review of a variety of …

Hermite polynomial-based functional link artificial neural network (FLANN) is proposed here
to solve the Van der Pol–Duffing oscillator equation. A single-layer hermite neural network …

This paper proposes the application of functional link neural networks (FLNNs) for structural
response prediction of tall buildings due to seismic loads. The ground acceleration data are …

Recently, Internet of Medical Things (IoMT) has gained considerable attention to provide
improved healthcare services to patients. Since earlier diagnosis of brain tumor (BT) using …

The establishment of accurate artificial intelligence (AI) prediction models for blast-induced
noise is a hot topic in mining sciences due to its environmental and safety implications …

Classification is a common problem in various fields of life, and the key challenging task in
data mining. The primary objective of the classification process to classify the given dataset …