Principal Component Neural Networks
Wiley-Interscience (Verlag)
978-0-471-05436-8 (ISBN)
K. I. Diamantaras is a research scientist at Aristotle University in Thessaloniki, Greece. He received his PhD from Princeton University and was formerly a research scientist for Siemans Corporate Research. S. Y. Kung is Professor of Electrical Engineering at Princeton University and received his PhD from Stanford University. He was formerly a professor of electrical engineering at the University of Southern California.
A Review of Linear Algebra.
Principal Component Analysis.
PCA Neural Networks.
Channel Noise and Hidden Units.
Heteroassociative Models.
Signal Enhancement Against Noise.
VLSI Implementation.
Appendices.
Bibliography.
Index.
Erscheint lt. Verlag | 4.4.1996 |
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Reihe/Serie | Adaptive and Learning Systems for Systems for Signal Processing, Communications, and Control Series |
Sprache | englisch |
Maße | 161 x 241 mm |
Gewicht | 567 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
ISBN-10 | 0-471-05436-4 / 0471054364 |
ISBN-13 | 978-0-471-05436-8 / 9780471054368 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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