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Authors: Wieslaw Citko and Wieslaw Sienko

Affiliation: Gdynia Maritime University, Poland

Keyword(s): Hamiltonian neural network, Machine learning, Artificial intelligence.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Modular Implementation of Artificial Neural Networks ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Supervised and Unsupervised Learning ; Theory and Methods

Abstract: The purpose of the paper is to present how very large scale networks for learning can be designed by using Hamiltonian Neural Network-based orthogonal filters and in particular by using octonionic modules. We claim here that octonionic modules are basic building blocks to implement AI compatible processors.

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Paper citation in several formats:
Citko, W. and Sienko, W. (2011). HAMILTONIAN NEURAL NETWORK-BASED ORTHOGONAL FILTERS - A Basis for Artificial Intelligence. In Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA; ISBN 978-989-8425-84-3, SciTePress, pages 124-127. DOI: 10.5220/0003671501240127

@conference{ncta11,
author={Wieslaw Citko. and Wieslaw Sienko.},
title={HAMILTONIAN NEURAL NETWORK-BASED ORTHOGONAL FILTERS - A Basis for Artificial Intelligence},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA},
year={2011},
pages={124-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003671501240127},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA
TI - HAMILTONIAN NEURAL NETWORK-BASED ORTHOGONAL FILTERS - A Basis for Artificial Intelligence
SN - 978-989-8425-84-3
AU - Citko, W.
AU - Sienko, W.
PY - 2011
SP - 124
EP - 127
DO - 10.5220/0003671501240127
PB - SciTePress