The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern

The neural networks are widely used to solve the routing problem and to manage the congestion in the computer networks. In this paper, two methods are proposed to solve this problem. In the first method a feed forward neural network is includ

IMPROVING THE CHARACTER RECOGNITION EFFICIENCY OF FEED FORWARD BP NEURAL NETWORK

AN ANN BASED APPROACH FOR OPTIMAL PLACEMENT OF DSTATCOM FOR VOLTAGE SAG MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents