ZISC Neural Network Base Indicator for Classification Complexity Estimation

Ivan Budnyk; Abdennasser Сhebira; Kurosh Madani

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Paper

ZISC Neural Network Base Indicator for Classification Complexity Estimation

In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 0ICINCO, 38-47, 2007 , Angers, France

Authors: Ivan Budnyk ; Abdennasser Сhebira and Kurosh Madani

Affiliation: Images, Signals and Intelligent Systems Laboratory (LISSI / EA 3956), PARIS XII University, Senart-Fontainebleau Institute of Technology, France

Abstract: This paper presents a new approach for estimating task complexity using IBM© Zero Instruction Set Computer (ZISC ©). The goal is to build a neural tree structure following the paradigm “divide and rule”. The aim of this work is to define a complexity indicator-function and to hallmark its’ main features.

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Paper citation in several formats:

Budnyk, I.; Сhebira, A. and Madani, K. (2007). ZISC Neural Network Base Indicator for Classification Complexity Estimation. In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP; ISBN 978-972-8865-86-3, SciTePress, pages 38-47. DOI: 10.5220/0001635600380047

@conference{anniip07,
author={Ivan Budnyk. and Abdennasser Сhebira. and Kurosh Madani.},
title={ZISC Neural Network Base Indicator for Classification Complexity Estimation},
booktitle={Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP},
year={2007},
pages={38-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001635600380047},
isbn={978-972-8865-86-3},
}

TY - CONF

JO - Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP
TI - ZISC Neural Network Base Indicator for Classification Complexity Estimation
SN - 978-972-8865-86-3
AU - Budnyk, I.
AU - Сhebira, A.
AU - Madani, K.
PY - 2007
SP - 38
EP - 47
DO - 10.5220/0001635600380047
PB - SciTePress