In this report, a design method of neural networks for limit cycle generator is described. First, the constraint conditions for the synaptic weights, which are given by the linear inequalities, are derived from the dynamics of neural networks. Next, the linear inequalities are solved by the linear programming method. The synaptic weights and other parameters are determined by the above solutions. Furthermore, neuro-based limit cycle generator is designed with analog electronic circuits and simulated by Spice. Finally, we confirm that our design method is efficient and practical for the design of neuro-based limit cycle generator.
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Teru YONEYAMA, Hiroshi NINOMIYA, Hideki ASAI, "Design Method of Neural Networks for Limit Cycle Generator by Linear Programming" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 688-692, February 2001, doi: .
Abstract: In this report, a design method of neural networks for limit cycle generator is described. First, the constraint conditions for the synaptic weights, which are given by the linear inequalities, are derived from the dynamics of neural networks. Next, the linear inequalities are solved by the linear programming method. The synaptic weights and other parameters are determined by the above solutions. Furthermore, neuro-based limit cycle generator is designed with analog electronic circuits and simulated by Spice. Finally, we confirm that our design method is efficient and practical for the design of neuro-based limit cycle generator.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_688/_p
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@ARTICLE{e84-a_2_688,
author={Teru YONEYAMA, Hiroshi NINOMIYA, Hideki ASAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Design Method of Neural Networks for Limit Cycle Generator by Linear Programming},
year={2001},
volume={E84-A},
number={2},
pages={688-692},
abstract={In this report, a design method of neural networks for limit cycle generator is described. First, the constraint conditions for the synaptic weights, which are given by the linear inequalities, are derived from the dynamics of neural networks. Next, the linear inequalities are solved by the linear programming method. The synaptic weights and other parameters are determined by the above solutions. Furthermore, neuro-based limit cycle generator is designed with analog electronic circuits and simulated by Spice. Finally, we confirm that our design method is efficient and practical for the design of neuro-based limit cycle generator.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - Design Method of Neural Networks for Limit Cycle Generator by Linear Programming
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 688
EP - 692
AU - Teru YONEYAMA
AU - Hiroshi NINOMIYA
AU - Hideki ASAI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - In this report, a design method of neural networks for limit cycle generator is described. First, the constraint conditions for the synaptic weights, which are given by the linear inequalities, are derived from the dynamics of neural networks. Next, the linear inequalities are solved by the linear programming method. The synaptic weights and other parameters are determined by the above solutions. Furthermore, neuro-based limit cycle generator is designed with analog electronic circuits and simulated by Spice. Finally, we confirm that our design method is efficient and practical for the design of neuro-based limit cycle generator.
ER -