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Ming-Feng Yeh1 CHAPTER 10 Widrow-Hoff Learning. Ming-Feng Yeh2 Objectives Widrow-Hoff learning is an approximate steepest descent algorithm, in which
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Neural nets for adaptive filtering and adaptive pattern ...widrow/papers/j1988neuralnets.pdfNeural Nets for Adaptive Filtering and Adaptive Pattern Recognition Bernard Widrow, Stanford
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Gliederung Geschichte - Praktische Informatikpi.informatik.uni-siegen.de/Mitarbeiter/berlik/lehre/ws0607/ci/ci8.pdf · Widrow-Hoff Lernregel (auch: LMS-Regel) Widrow entwickelt daraus
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NEURAL NETWORK Widrow-Hoff Learning Adaline Hagan LMS
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IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17 ...IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 1, JANUARY 2008 53 Sparse Representation for Color Image Restoration Julien Mairal,
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Widrow-Hoff Learning10 1 Widrow-Hoff Learning (LMS Algorithm) Hagan, Demuth, Beale, De Jesus. Approximate steepest descent. Least mean square
Widrow HoffLearning LMS
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COGNITIVE COMPUTATION 1 The Back-Prop and No-Prop …widrow/papers/129.backprop_noprop.pdfThe Back-Prop and No-Prop Training Algorithms Bernard Widrow, Youngsik Kim, Yizheng Liao,
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