Mean square error (MSE) is the most prominent criterion in training neural networks and has
been employed in numerous learning problems. In this paper, we suggest a group of novel …

In this work, the fire behavior of a sol-gel in-situ hybrid Mg (OH) 2-epoxy nanocomposite was
investigated and an artificial neural network-based system built on a fully connected feed …

Artificial Neural Network had gained a tremendous attention from researchers particularly
because of the architecture of Artificial Neural Network that laid the foundation as a powerful …

The IaaS (Infrastructure as a Service) is one of the most popular services from todays cloud
service providers, where the virtual machines (VM) are rented by users who can deploy any …

Neural network based equalizers can easily compensate channel impairments; such
additive noise and inter symbol interference (ISI). The authors present a new approach to …

The main problem of batch back propagation (BBP) algorithm is slow training and there are
several parameters need to be adjusted manually, such as learning rate. In addition, the …

The drawback of the Back Propagation (BP) algorithm is slow training and easily
convergence to the local minimum and suffers from saturation training. To overcome those …

The back propagation (BP) algorithm has been very successful in training multilayer
perceptron-based equalisers; despite its success BP convergence is still too slow. Within …

Musical genres are defined as categorical labels that auditors use to characterize pieces of
music sample. A musical genre can be characterized by a set of common perceptive …

Pipe robot is a robot capable of moving inside the pipe. The function of the pipe robot is to
monitor pipe defects. The pipe robot is designed to move steadily in the center position …