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Radial Basis Function Networks 1

Recent Developments in Theory and Applications

The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.

The percentage accuracy of two kernel methods when different means of creating
the data vectors used to determine the kernels. jections onto feature space of the
data. The methods for choosing a reduced set of points (called initialization ...

Spatial Information Theory A Theoretical Basis for GIS

International Conference COSIT '97, Laurel Highlands, Pennsylvania, USA, October 15-18, 1997. Proceedings

This book constitutes the refereed proceedings of the 1997 International Conference on Spatial Information Theory, COSIT'97, held in Laurel Highlands, Pennsylvania, USA, in October 1997. The 31 revised full papers presented were carefully selected from a total of 66 submissions. Also included are seven posters. The volume is divided into sections on representations of change, structuring of space, boundaries and gradations, topological models of space, formal models of space, cognitive aspects of spatial acquisition, novel use of spatial information, wayfinding and map interpretation, representations of spatial concepts, new approaches to spatial information.

Using. Hierarchical. Spatial. Data. Structures. for. Hierarchical. Spatial.
Reasoning. Sabine Timpf and Andrew U. Frank Dept. of Geoinfonnation
Technical University Vienna {timpf, frank} ...

Radial Basis Function Networks 2

New Advances in Design

The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.

This section describes the procedures used to collect training and test data for all
the networks in Glove-TalkII. The data for the consonant networks and vowel/
consonant decision network are obtained from the user. The data for the vowel ...

Prosiding Seminar Basis Data Tematik, Atlas, dan Diklat Survei dan Pemetaan, Cibinong, 14 April 1999

Proceedings of a seminar on developing databases of thematical mapping, atlas, and survey training in Indonesia.

Proceedings of a seminar on developing databases of thematical mapping, atlas, and survey training in Indonesia.

No Child Left Behind Act: Education’s Data Improvement Efforts Could Strengthen the Basis for Distributing Title III Funds

online format, with built-in data checks, provides the opportunity for the reports to
be prepopulated with data previously entered in the CSPR (Part I) and the
Education Data Exchange Network (EDEN) report, reducing significantly the
burden ...