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FLAIRS
1998
15 years 4 months ago
Aflatoxin Prediction Using a GA Trained Neural Network
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
C. E. Henderson, Walter D. Potter, Ronald W. McCle...
171
Voted
ICES
2010
Springer
277views Hardware» more  ICES 2010»
15 years 18 days ago
An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep...
146
Voted
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
15 years 9 months ago
Phoneme acquisition model based on vowel imitation using Recurrent Neural Network
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...
125
Voted
IROS
2008
IEEE
250views Robotics» more  IROS 2008»
15 years 9 months ago
Mobile robot broadband sound localisation using a biologically inspired spiking neural network
— A biologically inspired azimuthal broadband sound localisation system is introduced to simulates the functional organisation of the human auditory midbrain up to the inferior c...
Jindong Liu, Harry R. Erwin, Stefan Wermter
128
Voted
AMC
2007
154views more  AMC 2007»
15 years 2 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....