Books > Computing & IT > General theory of computing
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Predictive Artificial Neural Networks (Paperback)
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Predictive Artificial Neural Networks (Paperback)
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Data compression deals with removal of redundancy, reducing
bandwidth and thus lowering transmission and storage costs.
Telemetry data can be sensitive to inaccuracies and require
lossless compression for exact reconstruction at the receiver. One
technology that has been successfully applied in a wide range of
applications is artificial neural networks (ANN), a massively
parallel system with pattern recognition capabilities. This
monograph is a reproduction of the author's postgraduate thesis
work at Multimedia University, Malaysia. A two-stage
predictor-encoder combination is proposed, incorporating a variety
of feedforward, recurrent and radial basis ANN architectures, as
the predictors. The encoders are well known compression algorithms.
Characteristic features of the models, transmission issues and
other practical considerations are taken into account to determine
optimised configuration of the schemes. Significant compression
results are reported, along with a critical review of the strengths
and weaknesses of over 50 implementations simulated with satellite
telemetry data.
General
Imprint: |
Lap Lambert Academic Publishing
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Country of origin: |
Germany |
Release date: |
June 2010 |
First published: |
June 2010 |
Authors: |
Rajasvaran Logeswaran
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Dimensions: |
229 x 152 x 12mm (L x W x T) |
Format: |
Paperback - Trade
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Pages: |
216 |
ISBN-13: |
978-3-8383-3744-9 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
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LSN: |
3-8383-3744-1 |
Barcode: |
9783838337449 |
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