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Nonlinear dynamical systems : feedforward neural network perspectives

Author: I W Sandberg
Publisher: New York : Wiley, ©2001.
Series: Adaptive and learning systems for signal processing, communications, and control.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Examining a specialised part of neural networks, with applications in control, signal processing and time series analysis, this title provides an up-to-date treatment of a class of nonlinear  Read more...

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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: I W Sandberg
ISBN: 0471349119 9780471349112
OCLC Number: 44425428
Notes: "A Wiley-Interscience Publication."
Description: x, 298 pages : illustrations ; 24 cm.
Contents: 1. Feedforward Neural Networks: An Introduction / Simon Haykin --
1.1. Supervised Learning --
1.2. Unsupervised Learning --
1.3. Temporal Processing Using Feedforward Networks --
1.4. Concluding Remarks --
2. Uniform Approximation and Nonlinear Network Structures / Irwin W. Sandberg --
2.1. Introduction --
2.2. General Structures for Classification --
2.3. Myopic Maps, Neural Network Approximations, and Volterra Series --
2.4. Separation Conditions and Approximation of Discrete-Time and Discrete-Space Systems --
2.5. Concluding Comments --
2.6. Appendices --
3. Robust Neural Networks / James T. Lo --
3.1. Introduction --
3.2. Preliminaries --
3.3. General Risk-Sensitive Functionals --
3.4. Approximation of Functions by MLPs --
3.5. Approximation of Functions by RBFs --
3.6. Formulation of Risk-Sensitive Identification of Systems --
3.7. Series-Parallel Identification by Artificial Neural Networks [ANNs] --
3.8. Paral lel Identification of ANNs --
3.9. Conclusion --
4. Modeling, Segmentation, and Classification of Nonlinear Nonstationary Time Series / Craig L. Fancourt and Jose C. Principe --
4.1. Introduction --
4.2. Supervised Sequential Change Detection --
4.3. Unsupervised Sequential Segmentation --
4.4. Memoryless Mixture Models --
4.5. Mixture Models for Processes with Memory --
4.6. Gated Competitive Experts --
4.7. Competitive Temporal Principal Component Analysis --
4.8. Output-Based Gating Algorithms --
4.9. Other Approaches --
4.10. Conclusions --
5. Application of Feedforward Networks to Speech / Shigeru Katagiri --
5.1. Introduction --
5.2. Fundamentals of Speech Signals and Processing Technologies --
5.3. Fundamental Issues of ANN Design --
5.4. Speech Recognition --
5.5. Applications to Other Types of Speech Processing --
5.6. Concluding Remarks.
Series Title: Adaptive and learning systems for signal processing, communications, and control.
Responsibility: Irwin W. Sandberg [and others].
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..".an interesting book, useful for researchers in network theory..." (Dynamical Systems Magazine, July 2006)

 
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