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Gmdh-methodology And Implementation In Matlab

By: Godfrey C Onwubolu (Edited by)

Out of stock

Ksh 21,400.00

Format: Hardback or Cased Book

ISBN-10: 1783266120

ISBN-13: 9781783266128

Publisher: Imperial College Press

Imprint: Imperial College Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 5th, 2016

Publication Status: Active

Product extent: 284 Pages

Weight: 548.00 grams

Dimensions (height x width x thickness): 16.10 x 23.60 x 2.00 cms

Product Classification / Subject(s): Mathematical & statistical software
Data mining

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Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization.

 

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.


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