Barry Flower
Barry Flower
CruxML, EmbedML, Livestock Labs, University of Sydney
Verified email at cruxml.com - Homepage
Title
Cited by
Cited by
Year
Weight perturbation: An optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks
M Jabri, B Flower
IEEE Transactions on Neural Networks 3 (1), 154-157, 1992
2711992
Multiresolution forecasting for futures trading using wavelet decompositions
BL Zhang, R Coggins, MA Jabri, D Dersch, B Flower
IEEE Transactions on Neural Networks 12 (4), 765-775, 2001
1962001
Apparatus and method for the detection and treatment of arrhythmias using a neural network
P Nickolls, G Drane, B Flower, P Lunsmann, R Dodd, D Bassin, ...
US Patent 5,251,626, 1993
1101993
Summed weight neuron perturbation: An O (n) improvement over weight perturbation
B Flower, M Jabri
Proceedings of the 5th International Conference on Neural Information …, 1992
741992
Adaptive analog VLSI neural systems
M Jabri, RJ Coggins, BG Flower
Springer Science & Business Media, 2012
682012
Weight perturbation: An optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks
M Jabri, B Flower
Neural Computation 3 (4), 546-565, 1991
631991
A hybrid analog and digital VLSI neural network for intracardiac morphology classification
R Coggins, M Jabri, B Flower, S Pickard
IEEE Journal of Solid-State Circuits 30 (5), 542-550, 1995
521995
Neural network with training by perturbation
MA Jabri, BG Flower
US Patent 5,640,494, 1997
261997
ANN based classification for heart defibrillators
M Jabri, S Pickard, P Leong, Z Chi, B Flower, Y Xie
Proceedings of the 4th International Conference on Neural Information …, 1991
181991
A low-power network for on-line diagnosis of heart patients
R Coggins, M Jabri, B Flower, S Pickard
IEEE Micro 15 (3), 18-25, 1995
171995
Stochastic receding horizon control for short-term risk management in foreign exchange
F Noorian, B Flower, PHW Leong
Journal of Risk 18 (5), 29-62, 2016
52016
ICEG Morphology Classification using an Analogue VLSI Neural Network.
R Coggins, M Jabri, B Flower, S Pickard
Advances in Neural Information Processing Systems, 731-738, 1995
41995
PANNE: a parallel computing engine for connectionist simulation
IZ Milosavlevich, BG Flower, MA Jabri
Proceedings of Fifth International Conference on Microelectronics for Neural …, 1996
31996
VLSI implementation of neural networks with application to signal processing
M Jabri, S Pickard, P Leong, G Rigby, J Jiang, B Flower, P Henderson
1991., IEEE International Sympoisum on Circuits and Systems, 1275-1278, 1991
31991
Simultaneous inference and training using on-fpga weight perturbation techniques
S Siddhartha, S Wilton, D Boland, B Flower, P Blackmore, P Leong
2018 International Conference on Field-Programmable Technology (FPT), 306-309, 2018
22018
Exchange Rate Trading Using a Fast Retraining Procedure for Generalised Radial Basis Function Networks
DR Dersch, BG Flower, SJ Pickard
Decision Technologies for Computational Finance, 471-478, 1998
21998
ANN based classification of arrhythmias
M Jabri, S Pickard, P Leong, Z Chi, E Tinker, R Coggins, B Flower
Applications of Neural Networks, 93-112, 1995
21995
Low power intracardiac electrogram classification using analogue VLSI
R Coggins, M Jabri, B Flower, S Pickard
Proceedings of the Fourth International Conference on Microelectronics for …, 1994
21994
An analogue neural network using MCM technology
M Jabri, P Leong, J Burr, B Flower, KK Lai, S Pickard, E Tinker, R Coggins
Proceedings 1993 The First New Zealand International Two-Stream Conference …, 1993
21993
Algorithms, Implementations and On-chip Learning for Analogue Artificial Neural Networks
BG Flower
University of Sydney, 1994
11994
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Articles 1–20