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A Network Anti-Interference Method Based on Multi-State Hidden Layers' Distribution with Iterations
Abstract:
This paper puts forward a network anti-interference method based on multi-state hidden layers' distribution with iterations. It first calculates the distribution characteristics of multi-state data, and analyzes the law of network data; secondly, statistically analyzes the distribution of multi-state hidden layers, introduces constant iterations and update, and extracts system noise characteristics; then separates noise and network data, so as to implement anti-interference; finally carries out experiments with a set of test data in the actual network, and the results show that under strong interference, network anti-interference method based on multi-state hidden layers' distribution with iterations effectively reduces the network error rate, basically does not affect the normal communication, and has a good application value.
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Pages:
1664-1667
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Online since:
February 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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