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Subspace Learning of Neural Networks

Jian Cheng Lv | Zhang Yi | Jiliu Zhou
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A01=Jian Cheng Lv
A01=Jiliu Zhou
A01=Zhang Yi
Adaptive Learning Rate
advanced neural network learning algorithms
Author_Jian Cheng Lv
Author_Jiliu Zhou
Author_Zhang Yi
Block Algorithms
Category=PD
chaotic systems analysis
Conditional Expectation
Constant Learning Rates
Data Set
dimensionality reduction methods
Direction Cosine
ECG Signal
Ellipsoid Segment
encryption algorithm techniques
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
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Equilibrium Points
fP Rin
Generalize PCA
ICA Learning Algorithms
Initial Vector
Intrinsic Dimensionality
Invariant Set
Jian Cheng
Jiliu Zhou
Kernel PCA
Learning Rates
Local PCA
Low Dimensional Model
machine vision applications
MCA Learning Algorithms
neural signal processing
nonlinear data modeling
PCA Learning Algorithms
PCA Model
Principal Component Directions
Principal Direction
Subspace Learning
Subspace Learning Algorithms
Symmetric Nonnegative Definite Matrix
Unit Eigenvector
Zhang Yi

Product details

  • ISBN 9781138112681
  • Weight: 470g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Jun 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical understanding of the convergence behavior of subspace learning algorithms through a summary of chaotic behaviors.
About Jian Cheng Lv | Jiliu Zhou | Zhang Yi

Jian Cheng LV and Zhang Yi are affiliated with the Machine Intelligence Lab of the College of Computer Science at Sichuan University. Jiliu Zhou is affiliated with the College of Computer Science at Sichuan University.

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