Automatic Change Detection in Very High Resolution Images with Pulse-Coupled Neural Networks

From these figures it is clearly seen how all points (values of the AAO layer thickness) used for training are laying on ideally straight line. That means, that

Our main findings can be summarized as follows: (1) productivity growth and unem- ployment rate exhibit a negative correlation, both at business cycle frequencies and in the medium

The results indicated that, in order to maximize efficiency and reduce energy consumption changes in administrative policy and support should be applied in the form

To construct the neural network model ANN1, the following 82 input features were used: sine and cosine values with one year period, current and prior values for

The global sensitivity analysis for a model of a sewer retention tank with the use of artificial neural networks allowed determining the catchment and sewer system

As the establishing of the network architecture represents the most important stage in the ANN model building, an optimization procedure was used: several networks were built

Cytokines produced by cells pre- sent in the wound area (macrophages for example) give raise to a gradient that act as a chemoattractant factor for more distant cells that sense

Erd®s-Rény random graph stru ture, as represented in gure 1. Finally all onne tions are assumed to be one- dire tional, as for real neurons. As regards the point ), it has been