From Curve Fitting to Machine Learning : An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution of highly non-linear and increasingly complex data analysis procedures - methods that were completely unfeasible before. Non-linear curve fitting, clust...

詳細記述

保存先:
書誌詳細
第一著者: Zielesny, Achim
フォーマット: Livre numérique
言語:Anglais
出版事項: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
版:1st ed. 2011.
シリーズ:Intelligent Systems Reference Library 18
オンライン・アクセス:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
注記: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• From Curve Fitting to Machine Learning, Texte imprimé, 9783642212796
• From Curve Fitting to Machine Learning, Texte imprimé, 9783642271120
• From Curve Fitting to Machine Learning, Texte imprimé, 9783642212819

類似資料