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Recent advances of statistics in computational intelligence (RASCI)

journal contribution
posted on 2018-01-01, 00:00 authored by Honghua Dai, Muhammed J. A. Patwary1, James N. K. Liu
Computational intelligence is usually considered to be the
capability of a computer to learn a specific task from data
or experimental observation. Computational intelligence
plays a pivotal role in solving real-world complex problems.
One of the main objectives of computational intelligence
models is to discover the statistical disciplines hidden in the
data sets. The most significant theoretical fundamental in
developing different computational intelligence models is
considered to be statistical analysis. There is a continuous
scientific attempt to get better approaching into the cryptic
information underneath the huge stack of statistical model
and data that we come across to solve a specific problem. As
a result, there has been a major change towards quantitative
analysis of statistical methods as well as data through various
computational approaches.

History

Journal

International Journal Machine Learning and Cybernetics

Volume

9

Issue

1

Pagination

1 - 3

Publisher

Springer Berlin Heidelberg

Location

Berlin, Germany

ISSN

1868-8071

eISSN

1868-808X

Language

eng

Publication classification

X Not reportable; CN Other journal article

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