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New self-adaptive probabilistic neural networks in bioinformatic and medical tasks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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New self-adaptive probabilistic neural networks in bioinformatic and medical tasks. / Georgiou, Vassilis L.; Pavlidis, Nicos; Parsopoulos, Kostantinos E. et al.
In: International Journal on Artificial Intelligence Tools, Vol. 15, No. 3, 06.2006, p. 371-396.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Georgiou, VL, Pavlidis, N, Parsopoulos, KE, Alevizos, PD & Vrahatis, MN 2006, 'New self-adaptive probabilistic neural networks in bioinformatic and medical tasks', International Journal on Artificial Intelligence Tools, vol. 15, no. 3, pp. 371-396. https://doi.org/10.1142/S0218213006002722

APA

Georgiou, V. L., Pavlidis, N., Parsopoulos, K. E., Alevizos, P. D., & Vrahatis, M. N. (2006). New self-adaptive probabilistic neural networks in bioinformatic and medical tasks. International Journal on Artificial Intelligence Tools, 15(3), 371-396. https://doi.org/10.1142/S0218213006002722

Vancouver

Georgiou VL, Pavlidis N, Parsopoulos KE, Alevizos PD, Vrahatis MN. New self-adaptive probabilistic neural networks in bioinformatic and medical tasks. International Journal on Artificial Intelligence Tools. 2006 Jun;15(3):371-396. doi: 10.1142/S0218213006002722

Author

Georgiou, Vassilis L. ; Pavlidis, Nicos ; Parsopoulos, Kostantinos E. et al. / New self-adaptive probabilistic neural networks in bioinformatic and medical tasks. In: International Journal on Artificial Intelligence Tools. 2006 ; Vol. 15, No. 3. pp. 371-396.

Bibtex

@article{024f74d96a7e4c04a8283f14fadcfe4e,
title = "New self-adaptive probabilistic neural networks in bioinformatic and medical tasks",
abstract = "We propose a self–adaptive probabilistic neural network model, which incorporates optimization algorithms to determine its spread parameters. The performance of the proposed model is investigated on two protein localization problems, as well as on two medical diagnostic tasks. Experimental results are compared with that of feedforward neural networks and support vector machines. Different sampling techniques are used and statistical tests are conducted to calculate the statistical significance of the results.",
keywords = "Probabilistic neural networks, bioinformatics , particle swarm optimization",
author = "Georgiou, {Vassilis L.} and Nicos Pavlidis and Parsopoulos, {Kostantinos E.} and Alevizos, {Philipos D.} and Vrahatis, {Michael N.}",
year = "2006",
month = jun,
doi = "10.1142/S0218213006002722",
language = "English",
volume = "15",
pages = "371--396",
journal = "International Journal on Artificial Intelligence Tools",
issn = "0218-2130",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - New self-adaptive probabilistic neural networks in bioinformatic and medical tasks

AU - Georgiou, Vassilis L.

AU - Pavlidis, Nicos

AU - Parsopoulos, Kostantinos E.

AU - Alevizos, Philipos D.

AU - Vrahatis, Michael N.

PY - 2006/6

Y1 - 2006/6

N2 - We propose a self–adaptive probabilistic neural network model, which incorporates optimization algorithms to determine its spread parameters. The performance of the proposed model is investigated on two protein localization problems, as well as on two medical diagnostic tasks. Experimental results are compared with that of feedforward neural networks and support vector machines. Different sampling techniques are used and statistical tests are conducted to calculate the statistical significance of the results.

AB - We propose a self–adaptive probabilistic neural network model, which incorporates optimization algorithms to determine its spread parameters. The performance of the proposed model is investigated on two protein localization problems, as well as on two medical diagnostic tasks. Experimental results are compared with that of feedforward neural networks and support vector machines. Different sampling techniques are used and statistical tests are conducted to calculate the statistical significance of the results.

KW - Probabilistic neural networks

KW - bioinformatics

KW - particle swarm optimization

U2 - 10.1142/S0218213006002722

DO - 10.1142/S0218213006002722

M3 - Journal article

VL - 15

SP - 371

EP - 396

JO - International Journal on Artificial Intelligence Tools

JF - International Journal on Artificial Intelligence Tools

SN - 0218-2130

IS - 3

ER -