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» Integrating Neural Networks with Special Purpose Simulation
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WAPCV
2004
Springer
15 years 3 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
COGSCI
1998
113views more  COGSCI 1998»
14 years 9 months ago
Conceptual Integration Networks
Conceptual integration—"blending"—is a general cognitive operation on a par with analogy, recursion, mental modeling, conceptual categorization, and framing. It serv...
Gilles Fauconnier, Mark Turner
WSC
2008
14 years 12 months ago
Analytical simulation modeling
Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation mi...
Lee Schruben
CORR
2010
Springer
155views Education» more  CORR 2010»
14 years 8 months ago
A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks
The Call admission control (CAC) is one of the Radio Resource Management (RRM) techniques that plays influential role in ensuring the desired Quality of Service (QoS) to the users...
H. S. Ramesh Babu, Gowrishankar, P. S. Satyanaraya...
IJCNN
2007
IEEE
15 years 4 months ago
Implementation of multi-layer leaky integrator networks on a cellular processor array
- We present an application of a massively parallel processor array VLSI circuit to the implementation of neural networks in complex architectural arrangements. The work was motiva...
David R. W. Barr, Piotr Dudek, Jonathan M. Chamber...