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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

R.S. Neville, T.J. Stonham, R.J. Glover
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

Richard Stuart Neville, Thomas John Stonham
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]

Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
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]

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano (+47 others)
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

Alex Ellery
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]

Anne Groutel
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

David Bradbury
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

M. Grishina
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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