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BMCBI
2006
146views more  BMCBI 2006»
15 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
NECO
2008
108views more  NECO 2008»
15 years 4 months ago
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
Previous theoretical work has shown that a single layer neural network can implement the optimal decision process for simple, two alternative forced choice (2AFC) tasks. However, ...
Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Co...
BMCBI
2005
98views more  BMCBI 2005»
15 years 4 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
ICES
2010
Springer
277views Hardware» more  ICES 2010»
15 years 2 months 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...
GIS
2005
ACM
16 years 5 months ago
Contraflow network reconfiguration for evacuation planning: a summary of results
Contraflow, or lane reversal, is a way of increasing outbound capacity of a real network by reversing the direction of inbound roads during evacuations. The contraflow is consider...
Sangho Kim, Shashi Shekhar