Design of Circular Microstrip Antenna Using Artificial Neural Networks

Estimating Bankruptcy Using Neural Networks Trained with Hidden Layer Learning Vector Quantization..

Figure 3 presents relationships between the predicted and measured biochemical concentrations using a hybrid of neural networks and SPA variable selections (SPA-ANN):

A TC track analysis in the WNP was carried out using the best track data from the JMA, which consisted in the time, geographical position, sea level pressure at the storm

Abstract — in this paper, a new method is derived for the existence of a common quadratic Lyapunov function for Robust Stability Analysis of Fuzzy Elman Neural Network using

Omar, ”Design of Compact Microstrip Lowpass filter Based on Novel U-Resonator Using Defected Ground Structure and Compensated Microstrip Line,” in Proc. Kim, “A novel

A planar array with uniform current excitations which can generate different beam widths and gains is designed using Artificial Neural Networks.. The output of

It was shown and illustrated with tests that artificial feed forward neural networks could be trained to play the role of the dynamic system derivative function in the structure of

The comparison between the estimated values by remote sensing algorithms and ield observations showed the satisfactory accuracy of the methods with mean absolute