£129.80

Physica Radial Basis Function Networks 1 - AI & Machine Learning

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Description

Explore the latest advancements in neural network technology with Radial Basis Function Networks 1. This volume, part of the Studies in Fuzziness and Soft Computing series, examines why RBF networks have become popular for their rapid training capabilities and effective performance in classification and functional approximation tasks. Researchers focus on improving network performance through enhanced training algorithms and architectural variations. This book serves as a comprehensive survey of recent developments, making it a valuable resource for those studying the evolving landscape of machine learning. Beyond theoretical study, the text covers how RBF networks act as useful tools across multiple industries. You will find information regarding their application in robotics, the financial sector, and biomedical engineering. This volume provides a deep look into the theory and practical uses of these networks in modern computing.

Key Features

Covers recent developments in RBF neural network theory and practical applications for researchers and students.

Explores enhanced training algorithms designed to improve the overall performance of neural networks.

Details architectural variations used to optimize classification and functional approximation tasks.

Provides insight into RBF network utility within the robotics and biomedical engineering sectors.

Examines the use of RBF networks as a tool for analysis within the financial sector.

Part of the Studies in Fuzziness and Soft Computing series (Volume 66) for academic depth.

Product Specifications

Brand
Physica
Format
hardcover
Domain
Amazon UK
Release Date
27 March 2001
Listed Since
14 December 2006

Barcode

No barcode data available

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