Beyond PDP: The Frequency Modulation Neural Network Architecture
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Parallel and Distributed Processing. Pages 186-191.
Abstract
This paper proposes the Frequency Modulation Neural Network as an alternative to current neuralnet models. This proposal is for an architecture of a heterogeneous neural-network in which information is propagated using frequency modulation of pulses oscillated by groups of neurons. The FMNN model enables operations including variable-binding, sequential recognitions and predictions. The use of FM signals for communication among neural clusters also enables the model to avoid communication bottlenecks arising in most massively parallel computer architectures.
@inproceedings{ijcai1989p30,
title = {Beyond PDP: The Frequency Modulation Neural Network Architecture},
author = {Tomabechi, Hideto and Kitano, Hiroaki},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {186--191},
year = {1989},
month = {8},
note = {Parallel and Distributed Processing},
url = {https://ijcai.org/proceedings/1989/30},
}
TY - CPAPER TI - Beyond PDP: The Frequency Modulation Neural Network Architecture AU - Tomabechi, Hideto AU - Kitano, Hiroaki T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 186 EP - 191 UR - https://ijcai.org/proceedings/1989/30 ER -Copied
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