GMDH-methodology and implementation in MATLAB

Author(s)

• Onwubolu, Godfrey C.

Bibliographic Information

GMDH-methodology and implementation in MATLAB

editor, Godfrey Onwubolu

Imperial College Press , World Scientific Pub. [distributor], c2016

• : hc

Note

Includes bibliographical references and index

Description and Table of Contents

Description

Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first book to explore GMDH using MATLAB (matrix laboratory) language. Readers will learn how to implement GMDH in MATLAB as a method of dealing with big data analytics. Error-free source codes in MATLAB have been included in supplementary material (accessible online) to assist users in their understanding in GMDH and to make it easy for users to further develop variations of GMDH algorithms.

by "Nielsen BookData"

• NCID: BB27412848
• ISBN:
  • 9781783266128
• LCCN: 2015049361
• Country Code: uk
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: London,Singapore
• Pages/Volumes: xix, 262 p.
• Size: 24 cm
• Classification:
  • LCC : TA345.5.M42
  • DC23 : 511.8028553
• Subject Headings:
  • LCSH : MATLAB
  • LCSH : GMDH algorithms
  • LCSH : System analysis -- Data processing
  • LCSH : Quantitative research -- Data processing