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» Modeling spiking neural networks
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ICSNC
2007
IEEE
16 years 3 days ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
149
Voted
MIG
2009
Springer
16 years 10 days ago
Evolved Controllers for Simulated Locomotion
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
Brian F. Allen, Petros Faloutsos
CSL
2007
Springer
15 years 5 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
CATA
2000
15 years 7 months ago
Neocognitron for rotated pattern recognition
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
Michael Tran, Siddheswar Ray, Ronald Pose
IEEEICCI
2006
IEEE
15 years 11 months ago
Evolved Patterns of Connectivity in Associative Memory Models
This paper investigates possible connection strategies in sparsely connected associative memory models. This is interesting because real neural networks must have both efficient p...
Rod Adams, Lee Calcraft, Neil Davey