Publication result detail

Transformation in the Context of Neural Networks

SMETANA, B.

Original Title

Transformation in the Context of Neural Networks

English Title

Transformation in the Context of Neural Networks

Type

Paper in proceedings (conference paper)

Original Abstract

Input and output signals in the neural network can be understood as vectors. For understanding similarities with other algebraic structures we can use basic information about the transformation of vector spaces . This article describes these similarities and attempts to find a new context.

English abstract

Input and output signals in the neural network can be understood as vectors. For understanding similarities with other algebraic structures we can use basic information about the transformation of vector spaces . This article describes these similarities and attempts to find a new context.

Keywords

Linear Vector Space, Relation, Algebraization of Transition Relations.

Key words in English

Linear Vector Space, Relation, Algebraization of Transition Relations.

Authors

SMETANA, B.

RIV year

2018

Released

15.06.2017

Publisher

Univerzita obrany v Brně, Fakulta vojenských technologií

Location

Brno

ISBN

978-80-7231-417-1

Book

Matematika, informační technologie a aplikované vědy (MITAV 2017)

Pages from

58

Pages to

63

Pages count

6

BibTex

@inproceedings{BUT135940,
  author="Bedřich {Smetana}",
  title="Transformation in the Context of Neural Networks",
  booktitle="Matematika, informační technologie a aplikované vědy (MITAV 2017)",
  year="2017",
  pages="58--63",
  publisher="Univerzita obrany v Brně, Fakulta vojenských technologií",
  address="Brno",
  isbn="978-80-7231-417-1"
}