Multilayer Feed-Forward Neural Network Integrated with Dynamic Learning Algorithm by Pruning of Nodes and Connections

Learning Algorithm Effect on Multilayer Feed Forward Artificial Neural Network Performance in Image Coding

One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. Based on Gradient Descent, Conjugate Gradient, Quasi-Newton techniques three different error back propagation algorith...

Signal Prediction by Layered Feed - Forward Neural Network (RESEARCH NOTE).

In this paper a nonparametric neural network (NN) technique for prediction of future values of a signal based on its past history is presented. This approach bypasses modeling, identification, and parameter estimation phases that are required by conventional parametric techniques. A multi-layer feed forward NN is employed. It develops an internal model of the signal through a training operation...

Four-Layer Feed-Forward Neural Network with Local Glia Connections

A Low Cost Ins/gps Navigation System Integrated with a Multilayer Feed Forward Neural Network

This article investigates the use of a multilayer feedforward artificial neural network into a GPS integrated low cost inertial navigation system based on MEMS sensors. The neural network is applied as an alternative of integration technique, with the purpose of providing better navigation solutions, during the lack of information in GPS outages portions of time. An input-output neural network ...

Pseudo-Entropy Based Pruning Algorithm for Feed forward Neural Networks

Design of artificial neural networks is an important and practical task:"how to choose the adequate size of neural architecture for a given application". One popular method to overcome this problem is to start with an oversized structure and then prune it to obtain simpler network with a good generalization performance. This paper presents a pruning algorithm based on pseudo-entropy of hidden n...