Research Catalog

Nonlinear modeling : advanced black-box techniques

Title: Nonlinear modeling : advanced black-box techniques / edited by Johan A.K. Suykens and Joos Vandewalle.
Publication: Boston : Kluwer Academic Publishers, [1998], ©1998.

Items in the Library & Off-site

Filter by

1 Item

Item details
Status	Format	Access	Call Number	Item Location
Request for On-site Use Request Scan How do I pick up this item and when will it be ready?	Text	Request in advance	TA174 .N65 1998	Off-site

Holdings

Details

Additional Authors

Description

xvii, 256 pages : illustrations; 25 cm

Subjects

Bibliography (note)

Includes bibliographical references and index.

Contents

1. Neural Nets and Related Model Structures for Nonlinear System Identification / Jonas Sjoberg and Lester S. H. Ngia -- 2. Enhanced Multi-Stream Kalman Filter Training for Recurrent Networks / Lee A. Feldkamp, Danil V. Prokhorov and Charles F. Eagen [et al.] -- 3. The Support Vector Method of Function Estimation / Vladimir Vapnik -- 4. Parametric Density Estimation for the Classification of Acoustic Feature Vectors in Speech Recognition / Sankar Basu and Charles A. Micchelli -- 5. Wavelet Based Modeling of Nonlinear Systems / Yi Yu, Waine Lawton and Seng Luan Lee [et al.] -- 6. Nonlinear Identification based on Fuzzy Models / Vincent Wertz and Stephen Yurkovich -- 7. Statistical Learning in Control and Matrix Theory / M. Vidyasagar -- 8. Nonlinear Time-Series Analysis / Ulrich Parlitz -- 9. The K. U. Leuven Time Series Prediction Competition / Johan A. K. Suykens and Joos Vandewalle.

ISBN

0792381955 (alk. paper)

LCCN

98026531

OCLC

ocm39216247

Owning Institutions

Columbia University Libraries