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» Neural methods for dynamic branch prediction
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86
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BIOADIT
2004
Springer
15 years 5 months ago
Movement Generation and Control with Generic Neural Microcircuits
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points...
Prashant Joshi, Wolfgang Maass
101
Voted
BMCBI
2006
146views more  BMCBI 2006»
14 years 11 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...
ICANN
2001
Springer
15 years 4 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
86
Voted
IJCNN
2006
IEEE
15 years 5 months ago
Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads
—This paper investigates the application of a new kind of recurrent neural network called Echo State Networks (ESNs) for the problem of measuring the actual amount of harmonic cu...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....
91
Voted
POPL
1994
ACM
15 years 3 months ago
Reducing Indirect Function call Overhead in C++ Programs
Modern computer architectures increasingly depend on mechanisms that estimate future control flow decisions to increase performance. Mechanisms such as speculative execution and p...
Brad Calder, Dirk Grunwald