BATCH GRADIENT METHOD FOR TRAINING OF PI-SIGMA NEURAL NETWORK WITH PENALTY

[15] presented an efficient method for face detection and eye localization using neural network for color segmentation.. A self-growing probabilistic decision-based neural

A mulit-layer artificial neural network, with a backpropagation training algorithm and 11 neurons in the input layer, was used.. In this type of network, network inputs are

The confusion matrix of the neural network for data training shows that the neural network was able to differentiate vocalization samples of healthy chickens from those of

We introduce the features that need to be ranked as inputs of a feed-forward neural network (with a single hidden layer) used as a classifier that distinguishes attacks from

Once the weights and biases are found using Particle swarm optimization (PSO) with neural network used as training algorithm for specified epoch, the same are used to train the

In this study, a predictive controller using a feed- forward neural network with online adaptation of the parameters was used in the temperature control of a batch process for

In order to investigate performance of neural network method against the Kriging Method for modeling local geoid, we used a test network established in Bursa Metropolitan Area

In line with this, artificial neural network technology of backpropagation neural network (BPNN), radial basis function neural network (RBFNN) and generalized regression