Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

A brain-computer interface (BCI) provides a way to develop interaction between a brain and
a computer. The communication is developed as a result of neural responses generated in …

Various parameters affect thermal conductivity of nanofluid; however, some of them are
more influential such as temperature, size and type of nano particles and volumetric …

In this paper, a new globally convergent modification of the Resilient Propagation-Rprop
algorithm is presented. This new addition to the Rprop family of methods builds on a …

Early detection of Basal Stem Rot (BSR) disease in oil palms is an important plantation
management activity in Southeast Asia. Practical approaches for the best strategic approach …

Abstract The Feed-Forward and Backpropagation Artificial Neural Networks (FFBP-ANN) are
generally employed for cut surfaces quality characteristics predictions. However, the …

Our study employs sentiment analysis to evaluate the compatibility of Amazon. com reviews
with their corresponding ratings. Sentiment analysis is the task of identifying and classifying …

Networks of spiking neurons can perform complex non-linear computations in fast temporal
coding just as well as rate coded networks. These networks differ from previous models in …

The development of an automatic method of identifying microplastic particles within live cells
and organisms is crucial for high-throughput analysis of their biodistribution in toxicity …

In this paper the development, convergence theory and numerical testing of a class of
gradient unconstrained minimization algorithms with adaptive stepsize are presented. The …