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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
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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
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IMPROVING THE CHARACTER
RECOGNITION EFFICIENCY OF FEED
FORWARD BP NEURAL NETWORK
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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
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