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Partially pre-calculated weights for the backpropagation learning regime and high accuracy function mapping using continuous input RAM-based sigma–pi nets
2000
Neural Networks
We show how to utilise the bounded quantised site-values (weights) of sigma-pi nodes to make training of these neurocomputing systems simple, using pre-calculated look-up tables to train the nets. ...
We use sigma-pi units as they have been shown to have shorter training times than their analogue counterparts and can also overcome some of the drawbacks of semi-linear units (Gurney, 1992. ...
Dr Val Flynn is a lecturer in the School of Computing Information Systems and Mathematics at South Bank University in London. ...
doi:10.1016/s0893-6080(99)00102-1
pmid:10935462
fatcat:zlyxshljxrbfbj6txdfbnhktn4
Adaptive critic for sigma-pi networks
1996
Neural Networks
We utilise the conventions that the sigma-pi neuron model uses (i.e., quantisation of variables) to obtain an implementation we term the "'quantised adaptive critic", which is hardware realisable. ...
Our initial research, utilising a "'bounded" reward signal, r* E {0,..., 1}, found that the critic provides advisory information to the sigma--pi net which augments its training efficiency. ...
sigma-pi nets. ...
doi:10.1016/0893-6080(96)00015-9
fatcat:dzhmwaspezfnjj3cpdmkq4kf3m
An introduction to neural networks
1998
ChoiceReviews
We call units with a propagation rule (2.1) sigma units. ...
A di erent propagation rule, introduced by F eldman and Ballard (Feldman & Ballard, 1982) , is known as the propagation rule for the sigma-pi unit: s k (t) = X j w jk (t) Y m y jm (t) + k (t): (2.2) ...
doi:10.5860/choice.35-5700
fatcat:ggsglohg4fa2zgh264ierzk6q4
An Introduction to Neural Networks
[chapter]
2015
The Mathematics of Banking and Finance
We call units with a propagation rule (2.1) sigma units. ...
A di erent propagation rule, introduced by F eldman and Ballard (Feldman & Ballard, 1982) , is known as the propagation rule for the sigma-pi unit: s k (t) = X j w jk (t) Y m y jm (t) + k (t): (2.2) ...
doi:10.1002/9781119205920.ch31
fatcat:lzg3lko7c5ftbfkttkxaravxxi
An introduction to neural networks
1996
ChoiceReviews
We call units with a propagation rule (2.1) sigma units. ...
A di erent propagation rule, introduced by F eldman and Ballard (Feldman & Ballard, 1982) , is known as the propagation rule for the sigma-pi unit: s k (t) = X j w jk (t) Y m y jm (t) + k (t): (2.2) ...
doi:10.5860/choice.33-3957
fatcat:znt7yqfcmfh45ngtp45sgcaxeq
Industrial Artificial Intelligence Technologies and Applications
[chapter]
2022
Industrial Artificial Intelligence Technologies and Applications
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems. ...
Topics range from the theory and use of systems involving all terminals, computers, and information processors to wired and wireless networks and network layouts, protocols, architectures, and implementations ...
We also thank the ROMEO Computing Center 2 of Université de Reims Champagne Ardenne, whose Nvidia DGX-1 server allowed us to accelerate the training steps and compare several model approaches. ...
doi:10.13052/rp-9788770227902
fatcat:av7jjd4htbc7rez23jijfcayy4
2022 Roadmap on Neuromorphic Computing and Engineering
[article]
2022
arXiv
pre-print
In the Von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. ...
The aim of this Roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic ...
concerns are increasingly pressuring our way of life, become an essential component of a sustainable society. ...
arXiv:2105.05956v3
fatcat:pqir5infojfpvdzdwgmwdhsdi4
Tutorial Review of Bio-Inspired Approaches to Robotic Manipulation for Space Debris Salvage
2020
Biomimetics
We present a comprehensive tutorial review that explores the application of bio-inspired approaches to robot control systems for grappling and manipulating a wide range of space debris targets. ...
In particular, force feedback control may be supplemented with predictive forward models and software emulation of viscoelastic preflexive joint behaviour. ...
Conflicts of Interest: There are no conflicts of interest. Biomimetics 2020, 5, 19 ...
doi:10.3390/biomimetics5020019
pmid:32408615
pmcid:PMC7345424
fatcat:vjw2nklwunevnn2apee6vkdjx4
Quatrième partie – Introduction
[chapter]
2021
Les deux Irlandes et la diaspora
15 Chapter 7 presents a more detailed overview of sectoral growth opportunities, taking into account new and emerging potential and the focus of the development agencies (including those outside of DETI's ...
net Irish tax payable in respect of royalties earned in another country. ...
net Irish tax payable in respect of royalties earned in another country. ...
doi:10.4000/books.puc.13992
fatcat:tbrrsd73inbu5cewayy5zbwbti
A Methodology for the Development of Recurrent Networks for Sequence Processing Tasks
1997
A large number of recurrent network models have been developed, together with modifications of existing architectures and learning rules. ...
A class of artificial neural networks, known as recurrent networks, have architectures which incorporate feedback connections. ...
Conversely the net input to a sigma-pi unit is given by (2.6) Where i is an index of the pairs of units, sometimes called conjuncts^, which impact on unit jj and a i i , ..., aik are the k units in the ...
doi:10.21954/ou.ro.0000fe7a
fatcat:hg6s5lu7fvgcpcmpnmgxeewzzm
12th Saint Petersburg International Conference on Integrated Navigation Systems
2004
IEEE Aerospace and Electronic Systems Magazine
Acknowledgments The support of the Survey Department of the Ministry of Transportation and Public Works is gratefully acknowledged. ...
Acknowledgments The authors would like to acknowledge the invaluable assistance provided by Vladimir Branetz,, Mikhail Mikhailov and Juri Stishov of the RSC Energia. ...
This unit is completely independent of any other INS hardware in terms of its power and data output. The available gravimeter output rate is 1 Hz. Data are accepted by PC through serial port. ...
doi:10.1109/maes.2004.1346941
fatcat:z6zxudmnzbfgziagfqln3emo5y
The 18th Saint Petersburg International Conference on Integrated Navigation Systems
2011
IEEE Aerospace and Electronic Systems Magazine
Acknowledgments The support of the Survey Department of the Ministry of Transportation and Public Works is gratefully acknowledged. ...
Acknowledgments The authors would like to acknowledge the invaluable assistance provided by Vladimir Branetz,, Mikhail Mikhailov and Juri Stishov of the RSC Energia. ...
This unit is completely independent of any other INS hardware in terms of its power and data output. The available gravimeter output rate is 1 Hz. Data are accepted by PC through serial port. ...
doi:10.1109/maes.2011.6070282
fatcat:6bww25yu4fcmtoszue6f3mc7im
13th Saint Petersburg International Conference on Integrated Navigation Systems
2006
IEEE Aerospace and Electronic Systems Magazine
Acknowledgments The support of the Survey Department of the Ministry of Transportation and Public Works is gratefully acknowledged. ...
Acknowledgments The authors would like to acknowledge the invaluable assistance provided by Vladimir Branetz,, Mikhail Mikhailov and Juri Stishov of the RSC Energia. ...
This unit is completely independent of any other INS hardware in terms of its power and data output. The available gravimeter output rate is 1 Hz. Data are accepted by PC through serial port. ...
doi:10.1109/maes.2006.1705169
fatcat:xzwrwxgqvbgbjgudu75rvy7oui
The 18th saint petersburg international conference on integrated navigation systems
2010
IEEE Aerospace and Electronic Systems Magazine
Acknowledgments The support of the Survey Department of the Ministry of Transportation and Public Works is gratefully acknowledged. ...
Acknowledgments The authors would like to acknowledge the invaluable assistance provided by Vladimir Branetz,, Mikhail Mikhailov and Juri Stishov of the RSC Energia. ...
This unit is completely independent of any other INS hardware in terms of its power and data output. The available gravimeter output rate is 1 Hz. Data are accepted by PC through serial port. ...
doi:10.1109/maes.2010.5638804
fatcat:5fa2imjo4naavfgcdaju6lswvi
Table of contents
2009
2009 17th Mediterranean Conference on Control and Automation
The accuracy of the model is then validated using an elaborated semiempirical hardware-in-the-loop simulator (GIMsim) of an AFS machine built at IHA/TUT. ...
The identified neural network (NN) model is validated using the following three different validation algorithms: (1) one-step ahead cross-validation of the training and test data predicted by the trained ...
CINVESTAV Cadet, Catherine Lab. d'Automatique de Grenoble This paper presents a hybrid intelligent control based on nonlinear PI controller and a recurrent high order neural network (RHONN) identifier. ...
doi:10.1109/med.2009.5164498
fatcat:bi37lbkbhfaihj7lbc64vvplo4
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