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» Approximability of Robust Network Design
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DCOSS
2010
Springer
13 years 7 months ago
Design and Implementation of a Robust Sensor Data Fusion System for Unknown Signals
In this work, we present a robust sensor fusion system for exploratory data collection, exploiting the spatial redundancy in sensor networks. Unlike prior work, our system design c...
Younghun Kim, Thomas Schmid, Mani B. Srivastava
ESWA
2007
135views more  ESWA 2007»
13 years 7 months ago
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...
Lon-Chen Hung, Hung-Yuan Chung
NIPS
2000
13 years 8 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
IJCNN
2006
IEEE
14 years 1 months ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 1 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...