A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification

Ali Mahmoudi, Reza Askari Askari MOghadam, Kurosh Madani

2019

Abstract

In this paper, a novel online classification algorithm called sequential heteroscedastic probabilistic neural network (SHPNN) is proposed. This algorithm is based on Probabilistic Neural Networks (PNNs). One of the advantages of the proposed algorithm is that it can increase the number of its hidden node kernels adaptively to match the complexity of the data. The performance of this network is analyzed for a number of standard datasets. The results suggest that the accuracy of this algorithm is on par with other state of the art online classification algorithms while being significantly faster in majority of cases.

Paper Citation

in Harvard Style

Mahmoudi A., Moghadam R. and Madani K. (2019). A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - Volume 1: NCTA; ISBN 978-989-758-384-1, SciTePress, pages 449-453. DOI: 10.5220/0008495604490453

in Bibtex Style

@conference{ncta19,
author={Ali Mahmoudi and Reza Askari Moghadam and Kurosh Madani},
title={A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - Volume 1: NCTA},
year={2019},
pages={449-453},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008495604490453},
isbn={978-989-758-384-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - Volume 1: NCTA
TI - A Sequential Heteroscedastic Probabilistic Neural Network for Online Classification
SN - 978-989-758-384-1
AU - Mahmoudi A.
AU - Moghadam R.
AU - Madani K.
PY - 2019
SP - 449
EP - 453
DO - 10.5220/0008495604490453
PB - SciTePress