Stratified Data Partitioning in Artificial Neural Network

Name: Stratified Data Partitioning in Artificial Neural Network
Brand: VDM Verlag
SKU: 9783639341256
Price: 51.02 EUR
Availability: InStock

A Data Clustering Algorithm for Stratified Data Partitioning in Artificial Neural Network

Автор: Ajit Sahoo

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

51.02 € 99.78 лв

The statistical properties of training, validation and test data play an important role in assuring...

Информация за книгата

Автор

Ajit Sahoo

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

116

EAN

9783639341256

ISBN

3639341252

Enbook ID

06840703

Издател

VDM Verlag

Теглоt

181

Размери

152 x 229 x 7

Пълно описание

The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial neural networks (ANN). Researchers have proposed randomized data partitioning (RDP) and stratified data partitioning (SDP) methods for partition of input data into training, validation and test datasets. In this book we discuss the shortcomings and advantages of these methods. Eventually we propose a data clustering algorithm to overcome the drawbacks of the reported data partitioning algorithms. Comparisons have been made using three benchmark case studies, one each from classification, function ap-proximation and prediction domain respectively. The proposed CDCA data partitioning method was evaluated in comparison with Self organizing map, fuzzy clustering and genetic algorithm based data partitioning methods. It was found that the CDCA data partitioning method not only performed well but also reduced the average CPU time.

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Stratified Data Partitioning in Artificial Neural Network

A Data Clustering Algorithm for Stratified Data Partitioning in Artificial Neural Network

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също