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Books > Computing & IT > Applications of computing > Image processing
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Neural Networks for Optimization & Signal Processing (Hardcover)
Loot Price: R7,594
Discovery Miles 75 940
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Neural Networks for Optimization & Signal Processing (Hardcover)
Expected to ship within 12 - 17 working days
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Artificial neural networks can be employed to solve a wide spectrum
of problems in optimization, parallel computing, matrix algebra and
signal processing. Taking a computational approach, this book
explains how ANNs provide solutions in real time, and allow the
visualization and development of new techniques and architectures.
Features include a guide to the fundamental mathematics of
neurocomputing, a review of neural network models and an analysis
of their associated algorithms, and state-of-the-art procedures to
solve optimization problems. Computer simulation programs MATLAB,
TUTSIM and SPICE illustrate the validity and performance of the
algorithms and architectures described. The authors encourage the
reader to be creative in visualizing new approaches and detail how
other specialized computer programs can evaluate performance. Each
chapter concludes with a short bibliography. Illustrative worked
examples, questions and problems assist self study. The authors'
self-contained approach will appeal to a wide range of readers,
including professional engineers working in computing,
optimization, operational research, systems identification and
control theory. Undergraduate and postgraduate students in computer
science, electrical and electronic engineering will also find this
text invaluable. In particular, the text will be ideal to
supplement courses in circuit analysis and design, adaptive
systems, control systems, signal processing and parallel computing.
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