All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Pseudo Neural Networks via Analytic Programming with Direct Coding of Constant Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520634" target="_blank" >RIV/70883521:28140/18:63520634 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0143_is_ecms2018_0861.pdf" target="_blank" >http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0143_is_ecms2018_0861.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7148/2018-0143" target="_blank" >10.7148/2018-0143</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pseudo Neural Networks via Analytic Programming with Direct Coding of Constant Estimation

  • Original language description

    This research deals with a novel approach to classification – pseudo neural networks (PNN). This technique was inspired in classical artificial neural networks (ANN), where a relation between inputs and outputs is based on the mathematical transfer functions and optimised numerical weights. Compared to ANN, the whole structure in PNN, i.e. the relation between inputs and output(s), is fully synthesised by evolutionary symbolic regression tool – analytic programming. Compared to previous synthesised models, the PNN in this paper were synthesised via a new approach to constant estimation inside the analytic programming – direct coding. Iris data was used for the experiments and PNN were used for the synthesis of a complex classifier for more classes. For experimentation, Differential Evolution (de/rand/1/bin) for optimisation in analytic programming (AP) was used.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings - 32nd European Conference on Modelling and Simulation, ECMS 2018

  • ISBN

    978-0-9932440-6-3

  • ISSN

    2522-2414

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    143-149

  • Publisher name

    European Council for Modelling and Simulation

  • Place of publication

    Madrid

  • Event location

    Wilhelmshaven

  • Event date

    May 22, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article