Read Anywhere and on Any Device!

Special Offer | $0.00

Join Today And Start a 30-Day Free Trial and Get Exclusive Member Benefits to Access Millions Books for Free!

Read Anywhere and on Any Device!

  • Download on iOS
  • Download on Android
  • Download on iOS

RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING (Progress in Neural Processing, 11)

N. Sundararajan
4.9/5 (34027 ratings)
Description:This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of the existing theory of RBF networks and applications is given at the beginning.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING (Progress in Neural Processing, 11). To get started finding RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING (Progress in Neural Processing, 11), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
9810237715

RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING (Progress in Neural Processing, 11)

N. Sundararajan
4.4/5 (1290744 ratings)
Description: This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of the existing theory of RBF networks and applications is given at the beginning.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING (Progress in Neural Processing, 11). To get started finding RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING (Progress in Neural Processing, 11), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
9810237715

More Books

loader