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GMDH-Methodology and Implementation in MATLAB
GMDH-Methodology and Implementation in MATLAB
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164,14 €
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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…
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 284
  • ISBN-10: 1783266120
  • ISBN-13: 9781783266128
  • Formatas: 15.2 x 23.1 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų

GMDH-Methodology and Implementation in MATLAB (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 284
  • ISBN-10: 1783266120
  • ISBN-13: 9781783266128
  • Formatas: 15.2 x 23.1 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų

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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