Artificial neural networks (ANN) have been widely used in the field of data classification.
Normally, training of neural network is applied with the traditional back propagation …

Artificial neural network (ANN) has a wide variety of practice for the solution of problems in
the area of data classification. Back propagation algorithm is a famous neural network (NN) …

Artificial neural network (ANN) has a wide variety of practice for the solution of problems in
the area of data classification. Back propagation algorithm is a famous neural network (NN) …

The field of education and in particular distance e-learning is experiencing sustained
growth, because of the rapid evolution of information technology. This movement to open …

Artificial intelligence (AI) has made its way in almost every field of life. From education and
health care, it has its application in expert systems, defense, speech recognition, game …

Neural network is an effective machine learning technique for classification and regression.
In recent studies many stochastic population based techniques are applied to train neural …

In this research, optimization methods are evaluated for Neural Network (NN) learning. NN
is used as a classifier in image recognition and learning is important integrant to improve …

Particle swarm optimization (PSO) is a population based statistical optimization technique
which is inspired by social behavior of bird flocking or fish schooling. The main weakness of …

Neural network attracts plenty of researchers lately. Substantial number of renowned
universities have developed neural network for various both academically and industrially …

Neural network modeling has become a special interest for many engineers and scientists to
be utilized in different types of data as time series, regression, and classification and have …